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1
VISVESVARAYA TECHNOLOGICAL UNIVERSITY
BELAGAVI
BE/B.Tech Scheme of Teaching and Examinations Outcome Based Education (OBE) and Choice Based Credit System (CBCS)
(Effective from the academic year 2018 – 19)
2
B. E. Common to all Programmes
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
TRANSFORM CALCULUS, FOURIER SERIES AND NUMERICAL TECHNIQUES
Course Code 18MAT31 CIE Marks 40
Teaching Hours/Week (L: T:P) (2:2:0) SEE Marks 60
Credits 3 Exam Hours 03
Course Learning Objectives:
• To have an insight into Fourier series, Fourier transforms, Laplace transforms, Difference equations
and Z-transforms.
• To develop the proficiency in variational calculus and solving ODE’s arising in engineering
applications, using numerical methods.
Module-1
Laplace Transform: Definition and Laplace transforms of elementary functions (statements only). Laplace
transforms of Periodic functions (statement only) and unit-step function – problems.
Inverse Laplace Transform: Definition and problems, Convolution theorem to find the inverse Laplace
transforms (without Proof) and problems. Solution of linear differential equations using Laplace transforms.
Module-2
Fourier Series: Periodic functions, Dirichlet’s condition. Fourier series of periodic functions period π2 and
arbitrary period. Half range Fourier series. Practical harmonic analysis.
Module-3
Fourier Transforms: Infinite Fourier transforms, Fourier sine and cosine transforms. Inverse Fourier
transforms. Problems.
Difference Equations and Z-Transforms: Difference equations, basic definition, z-transform-definition,
Standard z-transforms, Damping and shifting rules, initial value and final value theorems (without proof) and
problems, Inverse z-transform and applications to solve difference equations.
Module-4
Numerical Solutions of Ordinary Differential Equations(ODE’s):
Numerical solution of ODE’s of first order and first degree- Taylor’s series method, Modified Euler’s method.
Runge -Kutta method of fourth order, Milne’s and Adam-Bash forth predictor and corrector method (No
derivations of formulae)-Problems.
Module-5
Numerical Solution of Second Order ODE’s: Runge-Kutta method and Milne’s predictor and corrector
method. (No derivations of formulae).
Calculus of Variations: Variation of function and functional, variational problems, Euler’s equation,
Geodesics, hanging chain, problems.
Course Outcomes: At the end of the course the student will be able to:
• CO1: Use Laplace transform and inverse Laplace transform in solving differential/ integral equation
arising in network analysis, control systems and other fields of engineering.
• CO2: Demonstrate Fourier series to study the behaviour of periodic functions and their applications in
system communications, digital signal processing and field theory.
• CO3: Make use of Fourier transform and Z-transform to illustrate discrete/continuous function arising
in wave and heat propagation, signals and systems.
• CO4: Solve first and second order ordinary differential equations arising in engineering problems
using single step and multistep numerical methods.
• CO5:Determine the externals of functionals using calculus of variations and solve problems
arising in dynamics of rigid bodies and vibrational analysis.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
3
Sl
No Title of the Book
Name of the
Author/s Name of the Publisher
Edition and
Year
Textbooks
1 Advanced Engineering
Mathematics
E. Kreyszig John Wiley & Sons 10th Edition,
2016
2 Higher Engineering Mathematics B. S. Grewal Khanna Publishers 44th Edition,
2017
3 Engineering Mathematics Srimanta Pal et al Oxford University
Press
3rd Edition, 2016
Reference Books
1 Advanced Engineering
Mathematics
C. Ray Wylie,
Louis C. Barrett
McGraw-Hill Book Co 6th Edition, 1995
2 Introductory Methods of
Numerical Analysis
S.S.Sastry Prentice Hall of India 4th Edition 2010
3 Higher Engineering Mathematics B.V. Ramana McGraw-Hill 11th Edition,2010
4 A Textbook of Engineering
Mathematics
N. P. Bali and
Manish Goyal
Laxmi Publications 6th Edition, 2014
5 Advanced Engineering
Mathematics
Chandrika Prasad
and Reena Garg
Khanna Publishing, 2018
Web links and Video Lectures: 1. http://nptel.ac.in/courses.php?disciplineID=111
2. http://www.class-central.com/subject/math(MOOCs)
3. http://academicearth.org/
4. VTU EDUSAT PROGRAMME - 20
4
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
Mechanics of Materials
Course Code 18IM32 CIE Marks 40
Number of Lecture Hours/Week (L:T:P)
(L:T:P)
3:2:0 SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objectives: To provide the students with
• Classify the stresses and define elastic properties of materials and compute stress and strain intensities
caused by applied loads in simple and compound sections and temperature changes.
• Derive the equations for principal stress and maximum in-plane shear stress and calculate their
magnitude and direction. Draw Mohr circle for plane stress system and interpret this circle.
• Determine the shear force, bending moment and draw shear force and bending moment diagrams,
describe behavior of beams under lateral loads.
• Explain the structural behavior of members subjected to torque, Calculate stress induced in shafts
subjected to bending and torsion.
• Understand the concept of stability and derive crippling loads for columns.
• Understand the concept of deflection and slop in beams
Module-1
Simple Stress and Strain: Introduction, Stress, strain and types. Tensile test on a mild steel and cast iron
specimens: Stress-Strain relation, Hooke's Law and Poisson's ratio for cast iron and non-ferrous (Al) materials.
Extension / Shortening of bars of: Uniform, varying in steps and continuously varying cross sections (circular
and rectangular), Principle of superposition, Elongation due to self-weight. Volumetric strain, expressions for
volumetric strain for bars with uniform circular and rectangular cross sections, Simple shear stress and shear
strain, formula for elastic constants (No derivation for relationship between elastic constants), Temperature
stresses (excluding compound bars). Simple numerical problems on tensile test and determining stress, strain
and change in dimensions.
Module-2
Principal stresses: Stresses in a tensile member, Stresses due to pure or simple shearing, mutually
perpendicular direct stresses, Principal planes and stresses, Two-dimensional stress system, Graphical method
(Mohr's circle) for plane stresses.
Thick and Thin Cylinder: Stresses in thin cylinders, change in dimensions of cylinder (diameter, length and
volume). Thick cylinders - Lame’s equations for radial and hoop stresses (compound cylinders and spherical
shells not included).
Torsion of Circular Shafts: Introduction, Torsion equation – assumptions and derivation, Torsional rigidity /
Stiffness of shafts. Power transmitted by solid and hollow circular shafts, Simple numerical problems.
Columns: Introduction, End conditions, Assumptions in deriving Euler’s equations, Sign conventions for
bending moments, Euler’s formulas (no derivation) for axially loaded elastic long columns, Limitations of
Euler’s theory, Rankine's formula
Module-3
Bending Moment and Shear Force in Beams:
Introduction - types of beams, loads and reactions, Shear force and bending moment, Sign conventions,
Relationship between load intensity, shear force and bending moment; Shear force and Bending moment
diagrams for different beams subjected to concentrated loads, uniformly distributed load, (UDL) uniformly
varying load (UVL) and couple for different types of beams.
Module-4
Bending Stresses in Beams: Moment of inertia and section modulus for different sections (I, T, rectangular,
and circular – only formulas) Introduction to theory of simple bending, assumptions in simple bending theory,
Bending stress equation - relationship between bending stress and radius of curvature, relationship between
bending moment and radius of curvature; Moment carrying capacity of a section. Simple problems on
rectangular, symmetrical I (about NA) and T sections. (composite / notched beams not included).
Module-5
Deflection of Beams: Introduction, Differential equation for deflection (flexure), Sign conventions and
assumptions, method of solution: by Double integration, deducing the constants of integration with boundry
conditions. Table of deflections and slopes for typical cases
5
Course Outcomes: After the completion of the course, a student will
• Understand simple, compound, thermal stresses and strains their relations, Poisson’s ratio, Hooke’s
law, mechanical properties including elastic constants and their relations.
• Determine stresses, strains and deformations in bars with varying circular and rectangular cross-
sections subjected to normal loads
• Determine plane stress, principal stress, maximum shear stress and their orientations using Mohr’s
circle
• Determine the dimensions of structural members including beams, bars and rods using Energy methods
and also stress distribution in thick and thin cylinders
• Draw SFD and BMD for different beams including cantilever beams, simply supported beams and
overhanging beams subjected to UDL, UVL, Point loads and couples
• Determine dimensions, bending stress, shear stress and its distribution in beams of circular,
rectangular, symmetrical I and T sections subjected to point loads and UDL
• Determine the dimensions of shafts based on torsional strength, rigidity and flexibility and also elastic
stability of columns using Rankin’s and Euler’s theory
• Understand the concept of design concet Pt of thin and thick cylinders
• Determination of deflection and slope for different boundary conditions by double integration method
Text Books:
1. James M Gere, Barry J Goodno, Strength of Materials, Indian Edition, Cengage Learning, 2009.
2. R Subramanian, Strength of Materials, Oxford, 2005.
Reference Books:
1. S S Rattan, Strength of Materials, Second Edition, McGraw Hill, 2011.
2. Strength of Materials by Bhavi Katti
2. Ferdinand Beer and Russell Johston, Mechanics of materials, Tata McGraw Hill, 2003.
6
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
Fluid Mechanics
Course Code 18IM33 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives: To provide the students with
• 1. The fundamentals of fluid mechanics, fluids and its properties.
• 2. An understanding of fluid statistics and hence the usage of Manometers, forces on submerged bodies.
• 3. Study of Buoyancy, metacenter, continuity equation and different functions
• 4. Application of Bernoulli’s equation to measure energy levels
• 5. Using different fluid equipment’s to calculate fluid flow and using Dimensional analysis to solve flow
problems.
• 6. Understanding the phenomenon of losses during flow in pipes.
• 7. Study of Laminar flow and the viscous effects.
• 8. Evaluating the various parameters connected to flow around immersed bodies.
Module-1
Properties of Fluids: Introduction, Properties of fluids, viscosity, thermodynamic properties, surface tension,
capillarity, vapour pressure and cavitation
Fluid Statics :
Fluid pressure at a point, Pascal’s law, pressure variation in a static fluid, absolute, gauge, atmospheric and
vacuum pressures, simple manometers and differential manometers.
Module-2
Total pressure and center of pressure on submerged plane surfaces; horizontal, vertical and inclined plane
surfaces, curved surface submerged in liquid.
Buoyancy and Fluid Kinematics: Buoyancy, center of buoyancy, metacentre and metacentric height,
conditions of equilibrium of floating and submerged bodies, determination of Metacentric height theoretically.
Kinematics: Types of fluid flow, continuity equation in 2D and 3D (Cartesian Co-ordinates only), velocity and
acceleration
Module-3
Fluid Dynamics: Introduction equation of motion, Euler’s equation of motion, Bernoulli’s equation from first
principles and also from Euler’s equation, limitations of Bernoulli’s equation. Fluid Flow Measurements :
Venturimeter, orificemeter, pitot-tube, vertical orifice, VNotch and rectangular notches.
Module-4
Flow through pipes: Minor losses through pipes. Darey’s and Chezy’s equation for loss of head due to friction
in pipes
Module-5
Dimensional Analysis : Introduction, derived quantities, dimensions of physical quantities, dimensional
homogeneity, Rayleigh’s method, Buckingham π theorem, dimensionless numbers,
Course Outcomes: After the completion of the course, a student will
1. Examine the fundamental of fluid mechanics and fluids and apply the basic equations to find the
force on submerged surfaces.
2. Calculate using known formula to calculate the center of buoyancy and find the velocity and
acceleration.
3. Calculate various flow parameters using fluid flow meters and using dimension analysis to predict
flow phenomena.
4. Use Euler’s and Bernoulli’s equations and the conservation of mass to determine velocities &
pressures. Calculate frictional losses through pipes.
Text Books:
1. Fluid Mechanics and Fluid Power Engineering, Kumar.D.S, Kataria and Sons., 2004.
2. Fluid Mechancis by Dr. Bansal, R.K.Lakshmi Publications, 2004.
Reference Books:
1. Fluid Mechanics and hydraulics, Dr.Jagadishlal: Metropolitan Book Co-Ltd., 1997.
2. Fluid Mechanics (SI Units), Yunus A. Cingel John M.Oimbala. Tata MaGrawHill, 2006.
3. Fluid Mechanics by John F.Douglas, Janul and M.Gasiosek and john A.Swaffield, Pearson Education
Asia, 5th ed., 2006
7
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
BASIC THERMODYNAMICS
Course Code 18IM34 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• To prepare the students to understand the fundamental concepts, terminologies, scope and application
of thermodynamics. The thermodynamic path for quasi- equilibrium processes, the graphical
representation of processes. Calculation of heat and work for different processes.
• Understand the joule’s experiment, and equivalent heating effect produced by work. First law
application to steady flow and unsteady flow system. Second law of thermodynamics, and entropy.
• Understand the properties of pure substance, phase change terminology, methods of finding dryness
fraction, and to know the systematic procedure for reading property tables.
• To know the mathematical interrelations of non-measurable thermodynamic properties, with the aid
of these relations, the changes in these properties can be computed.
Module-1
Fundamental Concepts & Definition: Thermodynamics definition and scope. Microscopic and
Macroscopic approaches. Some practical applications of engineering thermodynamic systems. Characteristics
of system boundary and control surface, examples. Thermodynamic properties: definition and units. Intensive
and extensive properties. Thermodynamic equilibrium: definition. Mechanical equilibrium, diathermic wall,
thermal equilibrium, chemical equilibrium, Zeroth law of thermodynamics. Temperature: concepts, scales,
fixed points and measurements. (Liquid in glass capillary, Electrical Resistance Thermometer,
Thermocouples, Constant Volume Gas Thermometer, and constant Pressure gas thermometer only are
included). Numerical problems on temperature scale.
Heat and work: Heat, Characteristics of heat, Sign Convention and units for heat, Work transfer,
Thermodynamic definition of work, Characteristic of work, sign convention and unis for work.
Classification of work, Mechanical form of work, Moving boundary work or Displacement work, Prove work
is a path function, expression of Displacement work for Different Quasi- static processes by representing on a
p-V diagrams. Numerical problems. (work done in starching a wire, work associated with stretching of a
liquid film, electric work due to current flow, Magnetic work due change in magnetization of a substance
explanation and problems are not included).
Module-2
First Law of Thermodynamics: Joules experiments, equivalence of heat and work.Statement of the first law
of thermodynamics, extension of the First law to cyclic processes, energy, energy as a property, modes of
energy, pure substance: definition, two-property rule. Specific heat at constant volume, enthalpy, specific
heat at constant pressure and numerical problems.
APPLICATION OF FIRST LAW OF THERMODYNAMICS: Extension of the first law to control
volume: Steady state- steady flow energy equation, important applications, and numerical problems steady
flow systems. (Analysis of unsteady processes such as film and evacuation of vessels with and without
heat transfer, and numerical problems of unsteady processes is not included).
Module-3
Second Law of Thermodynamics: Limitations of First law, Thermal reservoir, Heat engine, Direct heat
engine, performance of Direct heat engine, Kelvin- Planck statement of second law, Reversed heat engine,
Performance of a reversed heat engine, clausius statement of second law. Equivalence of Kelvin- Planck and
Clausius statements. Reversible and Irreversible cyclic processes.(Important consequences of the second
law of thermodynamics, Absolute scale of temperature, Reversibility and Irreversibility as applied to
Non- Cyclic Processes are not included)
Entropy: Introduction, State and prove clausius theorem, Entopy- a property of the system, state and prove,
the clausius inequality, Principle of increase of entropy, carnot cycle, and numerical problems.
Module-4
Pure Substances: Introduction, Property diagrams for simple compressible substance, T-v, p-v and p-T
diagrams. Definition of Various important thermodynamic states of a pure substance, (i) Compressed liquid
8
state or sub- cooled liquid state, (ii) Saturated liquid state, (iii) Wet vapour state, (iv) Dry vapour or saturated
vapour state, (v) Superheated vapour state, (vi) Saturated temperature or boiling point temperature, (vii)
Saturated pressure or boiling pressure and (viii) critical point. Dryness fraction of a wet vapour. Steam tables,
T-s and h-s Diagrams for a pure substance, p-h Diagrams for a pure substance. Determination of dryness
fraction of steam in a laboratory, Separating calorimeter method, Throttling calorimeter, Combined
separating -throttling calorimeter method, problems to find properties of pure substances.
Module-5
Ideal Gases and Mixture of Ideal Gases: Definition af an Ideal Gas, Mole of a Gas, Avegadro’s
Hypothesis, Specific heats of Ideal Gases, Changes in Internal energy, enthalpy for an ideal gas, expressions
for heat and work transfer for a perfect gas undergoing various quasi-static processes, problems on ideal
gases,
Mixture of Ideal gases Introduction, Definition of terms used in the analysis of mixture of gases, Dalton’s
law of partial pressure, Relation between Partial pressure, Partial Volume, and Mole Fraction, Gas constant
and Molecular weight for the mixture in terms of mass fraction, Gas constant and Molecular Weight of the
Mixture in Terms of Mole Fraction, Internal Energy, Enthalpy and Entropy of a Mixture of Gases. Problems
on Mixture of Ideal Gases.
Course Outcomes:
• Explain thermodynamic system, zeroth law of thermodynamics, temperature scales and energy
interaction. Determine heat and work. First and second law of thermodynamics to find energy,
efficiency of heat engine and COP of refrigerator and heat pump.
• Interpret behavior of pure substances, working of throttling calorimeters to find dryness fraction, to
fallow the systematic procedure to use thermodynamic hand book.
• To use appropriate mathematical interrelation to evaluate the thermodynamic properties.
• To use thermodynamics in engineering practices.
Text Books:
1. Basic Engineering Thermodynamics. A. Venkatesh, Universities Press. 2008.
2. Basic and Applied Thermodynamics. P.K. Nag, 2nd. Ed., Tata McGraw Hill Pub.2002.
3. Thermal Engineering, R.K. Rajput, Laxmi Publication.
4. Basic Thermodynamics. T. R. Seetharam, Second Edition, InterlinePublishing, 2007.
Reference Books:
1. Thermodynamics. An Engineering Approach, Yunus A. Cenegal, and Michael A Boles, Tata
McGraw Hill publications. 2002.
2. Engineering Thermodynamics. J. B. Jones and G.A. Hawkins. John Wiley and Sons.
3. Fundamentals of Classical Thermodynamics. G. J. Van Wylen and R. E. Sonnatag, Wiley Eastern.
4. An Introduction to Thermodynamics. Y.V.C. Rao, Wiley Eastern. 1993.
5. Basic Thermodynamics, B.K. Vekanna, Swati B. Wadavadagi, PHI, New Delhi. 2010
9
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
Mechanical Measurements and Metrology
Course Code 18IM35 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives: To provide the students with
• Understand metrology and its advancements. & measuring system
• Acquire knowledge on different standards of length, calibration of End Bars, linear and angular
measurements, Screw thread and gear measurement & comparators.
• Equip with knowledge of limits, fits, tolerances and gauging.
• Acquire knowledge of measurement methods with emphasis on different transducers, intermediate
modifying and terminating devices.
• Understand the measurement of Force, Torque, Pressure, Temperature and Strain.
Module-1
Standards of measurement: Definition and Objectives of metrology, Standards of length International
prototype meter, Imperial standard yard, Wave length standard, subdivision of standards, line and end
standard, calibration of end bars (Numerical), Slip gauges, Wringing phenomena, Indian Standards (M81, M-
12), Numerical problems on building of slip gauges.
Measurements and measurement system: Definition, significance of measurement, generalized
measurement system, definitions and concept of accuracy, precision, calibration, threshold, sensitivity,
hysteresis, repeatability, linearity, loading effect, system response-times delay. Errors in measurement,
classification of errors.
Module-2
System of Limits, Fits, Tolerance and Gauging: Definition of tolerance, specification in assembly,
principle of interchangeability and selective assembly limits of size, Indian standards, concept of limits of size
and tolerances, compound tolerances, accumulation of tolerances, definition of fits, types of fits and their
designation (IS919-1963), geometrical tolerance, positional-tolerances, hole basis system, shaft basis system.
Numerical problems on the design of shaft and hole pair
Classification of gauges, brief concept of design of gauges (Taylor's principles), wear allowance on gauges,
types of gauges-plain plug gauge, ring gauge, snap gauge, limit gauge and gauge materials. Numerical
problems.
Module-3
Comparators and Angular measurement: Introduction to comparators, characteristics, classification of
comparators, mechanical comparators-Johnson Mikrokator, sigma comparators, dial indicator, optical
comparators principles, Zeiss ultra-optimeter, electric and electronic comparators principles, LVDT,
pneumatic comparators, Solex comparators.
Angular measurements: bevel protractor, sine principle and use of sine bars, sine centre, use of angle gauges
(numericals on building of angles), and clinometers.
Interferometer and screw thread, gear measurement: Interferometer, interferemetry, autocollimator.
Optical flats. Terminology of screw threads, measurement of major diameter, minor diameter, pitch, angle
and effective diameter of screw threads by 2-wire and 3-wire methods, best size wire. Tool maker's
microscope, gear tooth terminology, use of gear tooth vernier caliper and micrometer.
Module-4
Sensors and Transducers:, primary and secondary transducers, transfer efficiency, electrical, mechanical,
electronic transducers, advantages of each type transducers.
Intermediate modifying and terminating devices: Mechanical systems, inherent problems, electrical
intermediate modifying devices, input circuitry, ballast circuit, electronic amplifiers and telemetry.
Terminating devices, mechanical, cathode ray oscilloscope, oscillographs, X-Y plotters.
Module-5
Measurement of force, torque and pressure: Principle, analytical balance, platform balance, proving ring.
Torque measurement, Prony brake, hydraulic dynamometer. Pressure measurements, principle, use of elastic
members, Bridgeman gauge, Mc loed gauge, Pirani gauge.
Temperature and strain measurement: Resistance thermometers, thermocouple, law of thermo couple,
materials used for construction, pyrometer, optical pyrometer. Strain measurements, strain gauge, preparation
and mounting of strain gauges, gauge factor, methods of strain measurement.
10
Course Outcomes: After the completion of the course, a student will
• Understand the objectives of metrology, methods of measurement, selection of measuring
instruments, standards of measurement and calibration of end bars.
• Describe slip gauges, wringing of slip gauges and building of slip gauges, angle measurement using
sine bar, sine center, angle gauges, optical instruments and straightness measurement using
Autocollimator.
• Explain tolerance, limits of size, fits, geometric and position tolerances, gauges and their design.
• Understand the principle of Johnson Mikrokator, sigma comparator, dial indicator, LVDT, back
pressure gauges, Solex comparators, and Zeiss Ultra Optimeter
• Describe measurement of major diameter, minor diameter, pitch, angle and effective diameter of
screw threads by 2 – wire, 3 – wire methods, screw thread gauges and tool maker’s microscope.
• Explain measurement of tooth thickness using constant chord method, addendum comparator
methods and base tangent method,
• Explain the measurement of pitch, concentricity, run out and involute profile
• Understand laser interferometers and Coordinate measuring machines.
• Explain measurement systems, transducers, intermediate modifying devices and terminating devices.
• Describe functioning of force, torque, pressure, strain and temperature measuring devices.
Text Books:
1. Mechanical Measurements, Beckwith Marangoni and Lienhard, Pearson Education, 6th Ed., 2006.
2. Engineering Metrology, R.K. Jain, Khanna Publishers, Delhi, 2009.
Reference Books:
4. Engineering Metrology and Measurements, Bentley, Pearson Education.
5. Theory and Design for Mechanical Measurements, III edition, Richard S Figliola, Donald E Beasley,
WILEY India Publishers.
6. Engineering Metrology, Gupta I.C., DhanpatRai Publications.
7. Deoblin’s Measurement system, Ernest Deoblin, Dhaneshmanick, McGraw –Hill.
8. Engineering Metrology and Measurements, N.V.Raghavendra and L. Krishnamurthy, Oxford
University Press.
11
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
Manufacturing Process
Course Code 18IM36 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives: 1. Understand the types of production processes, steps involved in casting, types of patterns, pattern
making, pattern allowance, cores, furnaces, advantages and limitations of casting.
2. Know the fundamentals of metal cutting like various cutting forces, tool materials, about tool life and
machinability.
3. Understand the importance of emerging technologies in manufacturing field.
Module-1
CASTING PROCESS Introduction: Concept of Manufacturing process, its Importance. Classification of Manufacturing
processes. Introduction to Casting process & steps involved. Varieties of components produced by casting
process. Advantages & Limitations of casting process.
Patterns: Definition, functions, Materials used for pattern, Classification of patterns.
Sand Moulding : Requirement of base sand, Method used for sand moulding
Binder & Additives: Definition, Types and characteristics.
Cores: Definition, Need, Types. Method of making cores, Binders used, core sand moulding.
Module-2
Concept of Gating & Risers: Principle and types. Fettling andcleaning of castings. Basic steps, Casting
defects, Causes, features andremedies.
Moulding Machines: Jolt type, Squeeze type, Jolt &Squeeze type and Sand slinger.
Special moulding Process: No bakemoulds, CO2 mould, Shellmould, Investment mould.
Metal Moulds: Pressure die casting, Slush casting.
Module-3
Introduction: Forging, Rolling, extrusion, Drawing, Sheet metal forming. (Operations)
Theory of Metal Cutting: Single point cutting tool nomenclature,Mechanics of Chip Formation, Types of
Chips, Merchants circle diagram and analysis.Tool Wear and Tool failure. Effects of cutting parameters
ontool life.Taylor’s Tool Life equation. Problemson tool life evaluation.
Module-4
METAL REMOVAL OPERATIONS: Turning: Classification, constructional features of Turret and Capstan Lathe. Different operations on lathe
and Mechanisms: Withworth’s quick return motion mechanism, Crank and slotted lever mechanism.
Milling:Classification, constructional features ofHorizontal & Vertical spindle, column and knee milling
machine. Mill cutter nomenclature, Different operations on Milling, Indexing (Numerical)
Introduction: Shaping, Planning, Grinding, Broaching. (Operations)
Module-5
NC & CNC: Elements of NC and CNC system, role of computers in manufacturing of a product,
Introduction to G-codes and M-codes.
Rapid Prototyping: Definition of RP, RP cycle, Stereolithography, selective laser sintering, 3D Printing.
Flexible manufacturing System: Definition, components of FMS, types of FMS, advantages and limitations of FMS.
Course Outcomes: students should be able to
CO1: Carry out step by step casting process to make components.
CO2: Analyze the process of moulding and casting to make metal casting.
CO3: Analyze the various cutting forces during metal cutting operations.
CO4: Distinguish among various metal removal operations and use appropriate in industry.
CO5: Investigate on tool failure.
CO6: Appraise the advanced manufacturing technology over conventional manufacturing process.
Text Books:
1. Manufacturing Engineering and Technology, Kalpakjian and Schmid, Prentice Hall, New
Jersey, 2013
2. “Manufacturing Process-I”, Dr. K.Radhakrishna, Sapna Book House, 5th Revised Edition
2009.
12
Reference Books:
1. “Process and Materials of Manufacturing”, Roy A Lindberg, 4th Ed. Pearson Edu. 2006.
2. “Manufacturing Technology”, SeropeKalpakjian, Steuen. R. Sechmid,Pearson Education Asia,
5th Ed. 2006.
13
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
FOUNDRY & FORGING LAB
Course Code 18IML37/47 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
• To apply knowledge of foundry and forging for the conduct of experiments in Foundry and Forging
laboratory using standard test procedures
To explain various foundry and forging tools and demonstrate their usage
Experiments:
PART – A
1. Testing of Moulding sand and Core sand Preparation of sand specimens and conduction of the following tests:
1 Compression, Shear and Tensile tests on Universal Sand Testing
Machine.
2 Permeability test
3 Core hardness & Mould hardness tests.
4 Sieve Analysis to find Grain Fineness number of Base Sand
5 Clay content determination in Base Sand
PART – B
2. Foundry Practice
Use of foundry tools and other equipments.
Preparation of moulds using two moulding boxes using patterns or without
patterns. (Split pattern, Match plate pattern and Core boxes).
Preparation of one casting (Aluminum or cast iron-Demonstration only)
PART – C
3. Forging Operations : Calculation of length of the raw material required to do the model.
Course Outcomes: At the end of the course the student will be able to:
• To apply knowledge of foundry and forging for the conduct of experiments in Foundry and Forging
laboratory using standard test procedures.
• To explain various foundry and forging tools and demonstrate their usage
Scheme of Examination: One question is to be set from Part-A: 50 marks
One question is to be set from either
Part-B or Part-C: 30 marks
Viva Voce: 20 Marks
14
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
METALLOGRAPHY AND MATERIAL TESTING LAB
Course Code 18IML38/48 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
PART – A 1. Preparation of specimen for Metallograpic examination of different engineering materials. Identification of
microstructures of plain carbon steel, tool steel, gray C.I, SG iron, Brass, Bronze & composites.
2. Heat treatment: Annealing, normalizing, hardening and tempering of steel. Hardness studies of heattreated
samples.
3. To study the wear characteristics of ferrous, non-ferrous and composite materials for different parameters.
4. Non-destructive test experiments like, (a). Ultrasonic flaw detection (b). Magnetic crack detection (c). Dye
penetration testing. To study the defects of Cast and Welded specimens
PART – B
1. Tensile, shear and compression tests of metallic and non metallic specimens using Universal Testing
Machine
2. Torsion Test
3. Bending Test on metallic and nonmetallic specimens.
4. Izod and Charpy Tests on M.S, C.I Specimen.
5. Brinell, Rockwell and Vickers’s Hardness test.
6. Fatigue Test.
Course Outcomes: At the end of the course the student will be able to:
• Identify the measuring instrument and demonstrate its usage.
• Calibrate pressure sensor, thermocouple, LVDT and load cell.
• Explain the usage of slip gauges for calibration of vernier caliper, height gauge and micrometer.
• Determine the form tolerance (cylindricity and circularity).
Scheme of Examination: ONE question from part -A: 20 Marks
ONE question from part -B: 40 Marks
Viva -Voice: 20 Marks Total: 80 Marks
15
B. E. (Common to all Programmes)
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER –II / III / IV
Aadalitha Kannada
Course Code 18KAK28/39/49
CIE Marks 100 Teaching Hours/Week (L:T:P) (0:2:0)
Credits 01 DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:
• ¥ÀzÀ« «zÁåyð¼ÁVgÀĪÀÅzÀjAzÀ DqÀ½vÀ PÀ£ÀßqÀzÀ ¥ÀjZÀAiÀÄ ªÀiÁrPÉÆqÀĪÀÅzÀÄ.
• «zÁåyðUÀ¼À°è PÀ£ÀßqÀ ¨sÁµÉAiÀÄ ªÁåPÀgÀtzÀ §UÉÎ CjªÀÅ ªÀÄÆr¸ÀĪÀÅzÀÄ.
• PÀ£ÀßqÀ s̈ÁµÁ gÀZÀ£ÉAiÀÄ°è£À ¤AiÀĪÀÄUÀ¼À£ÀÄß ¥ÀjZÀ¬Ä¸ÀĪÀÅzÀÄ.
• PÀ£ÀßqÀ s̈ÁµÁ §gÀºÀzÀ°è PÀAqÀħgÀĪÀ zÉÆõÀUÀ¼ÀÄ ºÁUÀÆ CªÀÅUÀ¼À ¤ªÁgÀuÉ. ªÀÄvÀÄÛ ¯ÉÃR£À aºÉßUÀ¼À£ÀÄß ¥ÀjZÀ¬Ä¸ÀĪÀÅzÀÄ.
• ¸ÁªÀiÁ£Àå CfðUÀ¼ÀÄ, ¸ÀPÁðj ªÀÄvÀÄÛ CgÉ ¸ÀPÁðj ¥ÀvÀæªÀåªÀºÁgÀzÀ §UÉÎ CjªÀÅ ªÀÄÆr¸ÀĪÀÅzÀÄ.
• ¨sÁµÁAvÀgÀ ªÀÄvÀÄÛ ¥Àæ§AzsÀ gÀZÀ£É §UÉÎ C¸ÀQÛ ªÀÄÆr¸ÀĪÀÅzÀÄ.
• PÀ£ÀßqÀ s̈ÁµÁ¨sÁå¸À ªÀÄvÀÄÛ ¸ÁªÀiÁ£Àå PÀ£ÀßqÀ ºÁUÀÆ DqÀ½vÀ PÀ£ÀßqÀzÀ ¥ÀzÀUÀ¼À ¥ÀjZÀAiÀÄ ªÀiÁrPÉÆqÀĪÀÅzÀÄ. ¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)
CzsÁåAiÀÄ – 1 PÀ£ÀßqÀ¨sÁµÉ – ¸ÀAQë¥ÀÛ «ªÀgÀuÉ.
CzsÁåAiÀÄ – 2 s̈ÁµÁ ¥ÀæAiÉÆÃUÀzÀ¯ÁèUÀĪÀ ¯ÉÆÃ¥ÀzÉÆõÀUÀ¼ÀÄ ªÀÄvÀÄÛ CªÀÅUÀ¼À ¤ªÁgÀuÉ.
CzsÁåAiÀÄ – 3 ¯ÉÃR£À aºÉßUÀ¼ÀÄ ªÀÄvÀÄÛ CªÀÅUÀ¼À G¥ÀAiÉÆÃUÀ.
CzsÁåAiÀÄ – 4 ¥ÀvÀæ ªÀåªÀºÁgÀ.
CzsÁåAiÀÄ – 5 DqÀ½vÀ ¥ÀvÀæUÀ¼ÀÄ.
CzsÁåAiÀÄ – 6 ¸ÀPÁðgÀzÀ DzÉñÀ ¥ÀvÀæUÀ¼ÀÄ.
CzsÁåAiÀÄ – 7 ¸ÀAQë¥ÀÛ ¥Àæ§AzsÀ gÀZÀ£É (¦æ¸Éʸï gÉÊnAUï), ¥Àæ§AzsÀ ªÀÄvÀÄÛ ¨sÁµÁAvÀgÀ.
CzsÁåAiÀÄ – 8 PÀ£ÀßqÀ ±À§Ý¸ÀAUÀæºÀ.
CzsÁåAiÀÄ – 9 PÀA¥ÀÆålgï ºÁUÀÆ ªÀiÁ»w vÀAvÀæeÁÕ£À.
CzsÁåAiÀÄ – 10 ¥Áj¨sÁ¶PÀ DqÀ½vÀ PÀ£ÀßqÀ ¥ÀzÀUÀ¼ÀÄ ªÀÄvÀÄÛ vÁAwæPÀ/ PÀA¥ÀÆålgï ¥Áj s̈Á¶PÀ ¥ÀzÀUÀ¼ÀÄ.
DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:
• DqÀ½vÀ ¨sÁµÉ PÀ£ÀßqÀzÀ ¥ÀjZÀAiÀĪÁUÀÄvÀÛzÉ.
• «zÁåyðUÀ¼À°è PÀ£ÀßqÀ ¨sÁµÉAiÀÄ ªÁåPÀgÀtzÀ §UÉÎ CjªÀÅ ªÀÄÆqÀÄvÀÛzÉ.
• PÀ£ÀßqÀ s̈ÁµÁ gÀZÀ£ÉAiÀÄ°è£À ¤AiÀĪÀÄUÀ¼ÀÄ ªÀÄvÀÄÛ ¯ÉÃR£À aºÉßUÀ¼ÀÄ ¥ÀjZÀ¬Ä¸À®àqÀÄvÀÛªÉ.
• ¸ÁªÀiÁ£Àå CfðUÀ¼ÀÄ, ¸ÀPÁðj ªÀÄvÀÄÛ CgÉ ¸ÀPÁðj ¥ÀvÀæªÀåªÀºÁgÀzÀ §UÉÎ CjªÀÅ ªÀÄÆqÀÄvÀÛzÉ.
• ¨sÁµÁAvÀgÀ ªÀÄvÀÄÛ ¥Àæ§AzsÀ gÀZÀ£É §UÉÎ C¸ÀQÛ ªÀÄÆqÀÄvÀÛzÉ.
• PÀ£ÀßqÀ s̈ÁµÁ¨sÁå¸À ªÀÄvÀÄÛ ¸ÁªÀiÁ£Àå PÀ£ÀßqÀ ºÁUÀÆ DqÀ½vÀ PÀ£ÀßqÀzÀ ¥ÀzÀUÀ¼ÀÄ ¥ÀjZÀ¬Ä¸À®àqÀÄvÀÛªÉ. ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ---- CIE (Co(Co(Co(Continuous Internal Evaluation):ntinuous Internal Evaluation):ntinuous Internal Evaluation):ntinuous Internal Evaluation): PÁ¯ÉÃdÄ ªÀÄlÖzÀ°èAiÉÄ DAvÀjPÀ ¥ÀjÃPÉëAiÀÄ£ÀÄß 100 CAPÀUÀ½UÉ «±Àé«zÁå®AiÀÄzÀ ¤AiÀĪÀÄUÀ¼ÀÄ ªÀÄvÀÄÛ ¤zÉðñÀ£ÀzÀAvÉ £ÀqɸÀvÀPÀÌzÀÄÝ. ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ (Kannada for Administration)(Kannada for Administration)(Kannada for Administration)(Kannada for Administration)
¸ÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀÄ qÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀ ¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð ¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.
16
B. E. (Common to all Programmes)
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER –II & III/IV
Vyavaharika Kannada
Course Code 18KVK28/39/49
CIE Marks 100 Teaching Hours/Week (L:T:P) (0:2:0)
Credits 01
Course Learning Objectives:
The course will enable the students to understand Kannada and communicate in Kannada language.
Table of Contents:
Chapter - 1: Vyavaharika kannada – Parichaya (Introduction to Vyavaharika Kannada).
Chapter - 2: Kannada Aksharamale haagu uchcharane ( Kannada Alpabets and Pronunciation).
Chapter - 3: Sambhashanegaagi Kannada Padagalu (Kannada Vocabulary for Communication).
Chapter - 4: Kannada Grammar in Conversations (Sambhashaneyalli Kannada Vyakarana).
Chapter - 5: Activities in Kannada.
Course Outcomes:
At the end of the course, the student will be able to understand Kannada and communicate in Kannada
language. ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ---- CIE (Continuous Internal Evaluation):(Continuous Internal Evaluation):(Continuous Internal Evaluation):(Continuous Internal Evaluation): PÁ¯ÉÃdÄ ªÀÄlÖzÀ°èAiÉÄ DAvÀjPÀ ¥ÀjÃPÉëAiÀÄ£ÀÄß 100 CAPÀUÀ½UÉ «±Àé«zÁå®AiÀÄzÀ ¤AiÀĪÀÄUÀ¼ÀÄ ªÀÄvÀÄÛ ¤zÉðñÀ£ÀzÀAvÉ £ÀqɸÀvÀPÀÌzÀÄÝ. Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): ªÁåªÀºÁjPÀ ªÁåªÀºÁjPÀ ªÁåªÀºÁjPÀ ªÁåªÀºÁjPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ((((Vyavaharika Kannada Vyavaharika Kannada Vyavaharika Kannada Vyavaharika Kannada Text Book)Text Book)Text Book)Text Book)
¸ÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀÄ qÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀ ¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð ¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.
17
B. E. Common to all Programmes
Outcome Based Education (OBE) and Choice Based Credit System (CBCS)
SEMESTER - III
CONSTITUTION OF INDIA, PROFESSIONAL ETHICS AND CYBER LAW (CPC)
Course Code 18CPC39/49 CIE Marks 40
Teaching Hours/Week (L:T:P) (1:0:0) SEE Marks 60
Credits 01 Exam Hours 02
Course Learning Objectives: To
• know the fundamental political codes, structure, procedures, powers, and duties of Indian government
institutions, fundamental rights, directive principles, and the duties of citizens
• Understand engineering ethics and their responsibilities; identify their individual roles and ethical
responsibilities towards society.
• Know about the cybercrimes and cyber laws for cyber safety measures.
Module-1
Introduction to Indian Constitution:
The Necessity of the Constitution, The Societies before and after the Constitution adoption. Introduction to the
Indian constitution, The Making of the Constitution, The Role of the Constituent Assembly - Preamble and
Salient features of the Constitution of India. Fundamental Rights and its Restriction and limitations in different
Complex Situations. Directive Principles of State Policy (DPSP) and its present relevance in our
society with examples. Fundamental Duties and its Scope and significance in Nation building.
Module-2
Union Executive and State Executive: Parliamentary System, Federal System, Centre-State Relations. Union Executive – President, Prime Minister,
Union Cabinet, Parliament - LS and RS, Parliamentary Committees, Important Parliamentary Terminologies.
Supreme Court of India, Judicial Reviews and Judicial Activism. State Executives – Governor, Chief Minister,
State Cabinet, State Legislature, High Court and Subordinate Courts, Special Provisions (Articles
370.371,371J) for some States.
Module-3
Elections, Amendments and Emergency Provisions: Elections, Electoral Process, and Election Commission of India, Election Laws. Amendments - Methods in
Constitutional Amendments (How and Why) and Important Constitutional Amendments. Amendments –
7,9,10,12,42,44, 61, 73,74, ,75, 86, and 91,94,95,100,101,118 and some important Case Studies.
Emergency Provisions, types of Emergencies and its consequences.
Constitutional special provisions:
Special Provisions for SC and ST, OBC, Women, Children and Backward Classes.
Module-4
Professional / Engineering Ethics: Scope & Aims of Engineering & Professional Ethics - Business Ethics, Corporate Ethics, Personal Ethics.
Engineering and Professionalism, Positive and Negative Faces of Engineering Ethics, Code of Ethics as
defined in the website of Institution of Engineers (India): Profession, Professionalism, and Professional
Responsibility. Clash of Ethics, Conflicts of Interest. Responsibilities in Engineering Responsibilities in
Engineering and Engineering Standards, the impediments to Responsibility. Trust and Reliability in
Engineering, IPRs (Intellectual Property Rights), Risks, Safety and liability in Engineering
Module-5
Internet Laws, Cyber Crimes and Cyber Laws:
Internet and Need for Cyber Laws, Modes of Regulation of Internet, Types of cyber terror capability, Net
neutrality, Types of Cyber Crimes, India and cyber law, Cyber Crimes and the information Technology Act
2000, Internet Censorship. Cybercrimes and enforcement agencies.
Course Outcomes: On completion of this course, students will be able to,
CO 1: Have constitutional knowledge and legal literacy.
CO 2: Understand Engineering and Professional ethics and responsibilities of Engineers.
CO 3: Understand the the cybercrimes and cyber laws for cyber safety measures.
Question paper pattern for SEE and CIE:
• The SEE question paper will be set for 100 marks and the marks scored by the students will
proportionately be reduced to 60. The pattern of the question paper will be objective type (MCQ).
• For the award of 40 CIE marks, refer the University regulations 2018.
Sl. Title of the Book Name of the Name of the Edition and Year
18
No.
Author/s Publisher
Textbook/s
1 Constitution of India,
Professional Ethics and Human
Rights
Shubham Singles,
Charles E. Haries,
and et al
Cengage Learning
India
2018
2 Cyber Security and Cyber Laws Alfred Basta and et
al
Cengage Learning
India
2018
Reference Books
3 Introduction to the
Constitution of India
Durga Das Basu Prentice –Hall, 2008.
4 Engineering Ethics M. Govindarajan, S.
Natarajan, V. S.
Senthilkumar
Prentice –Hall, 2004
19
B. E. Common to all Programmes
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - III
ADDITIONAL MATHEMATICS – I (Mandatory Learning Course: Common to All Programmes)
(A Bridge course for Lateral Entry students under Diploma quota to BE/B. Tech. programmes)
Course Code 18MATDIP31 CIE Marks 40
Teaching Hours/Week (L:T:P) (2:1:0) SEE Marks 60
Credits 0 Exam Hours 03
Course Learning Objectives:
• To provide basic concepts of complex trigonometry, vector algebra, differential and integral calculus.
• To provide an insight into vector differentiation and first order ODE’s.
Module-1
Complex Trigonometry: Complex Numbers: Definitions and properties. Modulus and amplitude of a
complex number, Argand’s diagram, De-Moivre’s theorem (without proof).
Vector Algebra: Scalar and vectors. Addition and subtraction and multiplication of vectors- Dot and Cross
products, problems.
Module-2
Differential Calculus: Review of elementary differential calculus. Polar curves –angle between the radius
vector and the tangent pedal equation- Problems. Maclaurin’s series expansions, problems.
Partial Differentiation: Euler’s theorem for homogeneous functions of two variables. Total derivatives -
differentiation of composite function. Application to Jacobians of order two.
Module-3
Vector Differentiation: Differentiation of vector functions. Velocity and acceleration of a particle moving on
a space curve. Scalar and vector point functions. Gradient, Divergence, Curl and Laplacian (Definitions only).
Solenoidal and irrotational vector fields-Problems.
Module-4
Integral Calculus: Review of elementary integral calculus. Statement of reduction formulae for
sin� �, cos� �, � sin� � × cos� �and evaluation of these with standard limits-Examples. Double and triple
integrals, problems.
Module-5
Ordinary differential equations (ODE’s): Introduction-solutions of first order and first degree differential
equations: Variable Separable methods, exact and linear differential equations of order one. Application to
Newton’s law of cooling.
Course Outcomes: At the end of the course the student will be able to:
• CO1: Apply concepts of complex numbers and vector algebra to analyze the problems arising in
related area.
• CO2: Use derivatives and partial derivatives to calculate rate of change of multivariate functions.
• CO3: Analyze position, velocity and acceleration in two and three dimensions of vector valued
functions. CO4: Learn techniques of integration including the evaluation of double and triple
integrals.
• CO5: Identify and solve first order ordinary differential equations.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
Sl.
No.
Title of the Book Name of the
Author/s
Name of the
Publisher
Edition and Year
Textbook
1 Higher Engineering Mathematics B.S. Grewal Khanna
Publishers
43rd
Edition, 2015
Reference Books
1 Advanced Engineering
Mathematics
E. Kreyszig John Wiley &
Sons
10th Edition, 2015
2 Engineering Mathematics Vol.I RohitKhurana Cengage
Learning
2015
20
B. E. Common to all Programmes
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
COMPLEX ANALYSIS, PROBABILITY AND STATISTICAL METHODS
Course Code 18MAT41 CIE Marks 40
Teaching Hours/Week (L:T:P) (2:2:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• To provide an insight into applications of complex variables, conformal mapping and special functions
arising in potential theory, quantum mechanics, heat conduction and field theory.
• To develop probability distribution of discrete, continuous random variables and joint probability
distribution occurring in digital signal processing, design engineering and microwave engineering.
Module-1
Calculus of complex functions: Review of function of a complex variable, limits, continuity, and
differentiability. Analytic functions: Cauchy-Riemann equations in Cartesian and polar forms and consequences.
Construction of analytic functions: Milne-Thomson method-Problems.
Module-2
Conformal transformations: Introduction. Discussion of transformations: ,,2 z
ewzw == ( )0,1
≠+= zz
zw
. Bilinear transformations- Problems.
Complex integration: Line integral of a complex function-Cauchy’s theorem and Cauchy’s integral formula and
problems.
Module-3
Probability Distributions: Review of basic probability theory. Random variables (discrete and continuous),
probability mass/density functions. Binomial, Poisson, exponential and normal distributions- problems (No
derivation for mean and standard deviation)-Illustrative examples.
Module-4
Curve Fitting: Curve fitting by the method of least squares- fitting the curves of the form-
.&,2
cbxaxyaxybaxyb
++==+= Statistical Methods: Correlation and regression-Karl Pearson’s coefficient of correlation and rank correlation-
problems. Regression analysis- lines of regression –problems.
Module-5
Joint probability distribution: Joint Probability distribution for two discrete random variables, expectation and
covariance.
Sampling Theory: Introduction to sampling distributions, standard error, Type-I and Type-II errors. Test of
hypothesis for means, student’s t-distribution, Chi-square distribution as a test of goodness of fit.
Course Outcomes: At the end of the course the student will be able to:
• CO1: Use the concepts of analytic function and complex potentials to solve the problems arising in
electromagnetic field theory.
• CO2: Utilize conformal transformation and complex integral arising in aerofoil theory, fluid flow
visualization and image processing.
• CO3: Apply discrete and continuous probability distributions in analyzing the probability models
arising in engineering field.
• CO4: Make use of the correlation and regression analysis to fit a suitable mathematical model for the
statistical data.
• CO5: Construct joint probability distributions and demonstrate the validity of testing the hypothesis.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl
No Title of the Book
Name of the
Author/s
Name of the
Publisher Edition and Year
21
Textbooks
1 Advanced Engineering Mathematics E. Kreyszig John Wiley & Sons 10th Edition,2016
2 Higher Engineering Mathematics B. S. Grewal Khanna Publishers 44th Edition, 2017
3 Engineering Mathematics Srimanta Pal et al Oxford University
Press
3rd
Edition,2016
Reference Books
1 Advanced Engineering Mathematics C. Ray Wylie,
Louis C. Barrett
McGraw-Hill 6th Edition 1995
2 Introductory Methods of Numerical
Analysis
S. S. Sastry Prentice Hall of
India
4th Edition 2010
3 Higher Engineering Mathematics B.V. Ramana McGraw-Hill 11th Edition,2010
4 A Textbook of Engineering
Mathematics
N. P. Bali and
Manish Goyal
Laxmi Publications 6th Edition, 2014
5 Advanced Engineering Mathematics Chandrika Prasad
and Reena Garg
Khanna Publishing, 2018
Web links and Video Lectures: 1. http://nptel.ac.in/courses.php?disciplineID=111
2. http://www.class-central.com/subject/math(MOOCs)
3. http://academicearth.org/
4. VTU EDUSAT PROGRAMME - 20
22
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
COMPUTER AIDED MACHINE DRAWING
Course Code 18IM42 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:2:0) SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objectives: • To sketch the Sections of Solids, where a student can have inner details of the solids.
• Analyze the pictorial views and convert into orthographic view using first angle projection.
• The students are taught the importance, applications and selection of fasteners, keys, cotters and
couplings etc.
• To create an interest in alternative joining process.
• With the thorough knowledge of part drawings of individual components, the final assembly drawing of
the machine part can be hand sketched and drafted by using solid edge software.
PART-A
Module-1
Section of solids: Sections of Solids: Sections of Pyramids, Prisms, Cubes, Tetrahedrons, Cones and Cylinders
resting only on their base (No problems on, axis inclination, spheres and hollow solids) True shape of section.
Orthographic Views: Conversion of pictorial views into orthographic projections of simple machine parts with
or without section. (Bureau of Indian Standards conventions are to be followed for the drawings) Hidden line
conventions. Precedence of lines.
Module-2
Thread forms: Thread terminology, sectional views of threads. ISO Metric (Internal & External), BSW
(Internal & External) square and Acme. Sellers thread, American Standard thread.
Fasteners: Hexagonal headed bolt and nut with washer (assembly), square headed bolt and nut with washer
(assembly), simple assembly using stud bolts with nut and lock nut.
PART-B
Module-3
Riveted Joints: Single and double riveted lap joints, butt joints with single/double cover straps (Chain and
Zigzag, using snap head rivets).
Keys: Parallel, Taper and Feather key.
Cotter joint (socket and spigot), knuckle joint (pin joint) for two rods.
Couplings: Split Muff coupling and Protected type flanged coupling
PART-C
Module-4
Assembly Drawings: ( Parts drawings shall be given)
1. Screw jack (Bottle type).
2. Plummer block (Pedestal Bearing).
3. Machine vice.
Course Outcomes. After the course the students will be able to
• Understand sections of Solids, Sectional views, concept of Auxiliary views sketching and preparation of
CAD drawing using Solid Edge software.
• Students are able to understand & use the various types of Fasteners like nuts, bolts & threaded profiles
of various standards (ISO, British etc,,)
• Sketch & prepare CAD drawing of riveted joints / sectional views etc. & understand the functions of
fabrication processes.
• Sketch & prepare CAD drawing of various couplings, Cotter joint, Knuckle joint etc.,
• Sketch & prepare assembly (3-D view) and orthographic views of Screw Jack, Plummer Block and
Machine Vice, Connecting Rod.
• Implement the above skills in fabrication for the given mechanical design projects in higher semesters.
Pursue higher education in the field (CAD/CAM/CAE) to become a specialist.
Question paper pattern:
• Two questions are set from Part-A, Part-B, and Part-C.
• Students has to answer one question each from Part-A, Part-B for 20 marks each and one question from
Part C for 60 marks and total= 100 marks.
TEXT BOOKS: 1. A Primer on Computer Aided Machine Drawing-2007’, Published by VTU, Belgaum.
23
2. Machine Drawing’, N. D. Bhat & V.M. Panchal.
3. Computer Aided Machine Drawing, K.R. Gopalakrishna, A.S. Ravindra,Subhas Publication-2017
REFERENCE BOOKS:
1. Machine Drawing, N. Siddeshwar, P. Kannaiah, V. V. S. Sastri published by Tata Mc GrawHill,2006.
2. A Text Book of Computer Aided Machine Drawing’, S. Trymbaka Murthy, CBS Publishers, New
Delhi, 2007.
24
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
KINEMATICS OF MACHINES
Course Code 18IM43 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives: To enable the student to
1. Acquire knowledge of mechanism and their inversions that are required to construct a machine with
the help of different linkages.
2. Acquire knowledge of mechanism and their inversions that are required to construct a machine with
the help of different linkages.
3. Find degree of freedom for various combinations of linkages.
4. Find the velocity and acceleration of mechanisms. Understand spur gear terminology, find the
minimum number of tooth to transmit the motion, and also they know, how to ovoid interference.
5. Understand how effectively utilize the gear train in power transmission. Draw the com profile for
different motion of the follower.
Module-1
Introduction: Definition, link or element, kinematic pairs, Degree of freedom, Grubler’s criterion (without
derivation), Problems to find degree of freedom for combination of links, Kinematic chain, Mechanism,
structure, Mobility of Mechanism, Inversion, Machine.
Kinematics Chains and Inversions: Inversions of Four bar chain; Single slider crank chain and Double Slider
crank chain
Module-2
Mechanisms: Quick return motion mechanism: Whitworth mechanism, and crank and slotted lever mechanism.
Straight line motion mechanism: Peaucellier’s mechanism and Robert’s mechanism, Intermittent motion
mechanisms- Geneva wheel mechanism and Ratchet and Pawl mechanism, Other mechanisms: Toggle
mechanism. Pentograph.
Module-3
Velocity and Acceleration Analysis of Mechanism (Graphical Method) Velocity and acceleration analysis of
Four bar mechanism, slider crank mechanism and simple mechanisms by vector polygons: Relative velocity and
acceleration of particles in a common link, relative velocity and accelerations of coincident particles on separate
links.
Module-4
Gears: Introduction, Classification of Gears, Gear terminology, law of gearing, Path of contact, Contact ratio,
Interference in involute gears, Minimum number of teeth, Problems to find Addendum, Path of contact, Arc of
contact, minimum number of teeth on each wheel to ovoid interference, contact ratio only.
Gear Trains: Simple gear trains, Compound gear trains for large speed reduction, Epicyclic gear trains,
Algebraic and tabular methods of finding velocity ratio of epicyclic gear trains, Tooth load and torque
calculations in epicyclic gear trains.
Module-5
Cams: Introduction, types of cams, types of followers, terminology of cam. Motions of follower, Displacement,
Velocity, and acceleration curves of one complete rotation of cam. Draw the cam profile for follower motions
including SHM, Uniform velocity, uniform acceleration and retardation and cycloidal motion. Determine the
maximum velocity and acceleration for above mentioned motions only for knife edge and roller follower.
Course Outcomes:
• Understand the definition of terms used in kinematics of machines, working of four bar chain, single
slider crank chain, and double slide crank chain, their inversions, intermittent motion and straight line
motion mechanisms. Apply to construct the combination of links to get a mechanism or machine to do a
required useful work.
• Understand the analysis of velocity and acceleration of mechanisms using graphical method. In further
vibration studies, acceleration evaluates the natural frequency of a machine to justify the safe running of
a machine.
• Understand the terminology and characteristics of spur gear and gear trains. Formulate and solving the
gear train to evaluate speed, torque and output for create a required gear train of smaller sizes in a lesser
space.
• Illustrate and analyze CAM profiles with the knowledge of motions of follower. To create a cam profile
for required follower motion &justify the maximum velocity and acceleration of the follower.
Question paper pattern:
25
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Theory of Machines, Rattan. S. S, Tata Mc Graw-Hill Publishing Co Ltd, New Delhi, 3rd edition-2009.
2. Theory of Machines, Sadhu Singh, Pearson Education ( Singapore) Pvt, Ltd, Indian Branch, New Delhi,
2nd Ed, 2006.
Reference Books:
1. Theory of Machines and Mechanisms, J. J. Uicker, G.R. Penock, J.E. Shigley, OXFORD 3rd Ed. 2009.
2. Mechanism and Machine theory, Ambakar, PHI
26
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
STATISTICS FOR ENGINEERS
Course Code 18IM44 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Explain the concepts related to data summarization, data handling and estimation techniques for statistical
processing.
2. Apply the concepts of probability, distributions and their applications to derive point and interval estimates.
3. Analyze problems using descriptive and inferential statistical processing of data.
4. Understand and apply the concept of factorial Design for optimizing the process parameters.
Module-1
THE ROLE OF STATISTICS IN ENGINEERING: Statistical Thinking, Collecting data, Statistical Modelling
Frame work.
DATA SUMMARY AND PRESENTATION: Measure of central tendency and variance, Importance of Data
summary and Display, Tabular and Graphical display.
DISCRETE RANDOM VARIABLES AND PROBABILITY
DISTRIBUTIONS: Discrete Random variables, Probability distributions and Probability mass functions,
Cumulative distribution functions, Mean and Variance of a discrete random variable, Discrete uniform distribution,
Binominal distribution, Hyper Geometric distribution, Poisson distribution.
Module-2
CONTINUOUS RANDOM VARIABLES AND PROBABILITY
DISTRIBUTIONS: Continuous random variables, Probability distributions and probability density functions,
cumulative distribution functions, Mean and Variance of a continuous random variable, uniform distribution,
Normal distribution, Normal approximation to Binominal and Poisson distribution.
ESTIMATION THEORY: Statistical Inference, Random sampling, Properties of Estimators, Sampling
distribution, Sampling distribution of mean, variance and proportion. Introduction to confidence intervals.
Module-3
STATISTICAL INFERENCE FOR A SINGLE SAMPLE: Hypothesis testing, Inference on the mean of a
population (variance known and unknown), Inference on the variance of a normal population, Inference on a
population proportion.
STATISTICAL INFERENCE FOR TWO SAMPLES: Inference for a difference in Means, Variances known,
Inference for a difference in means of two normal distributions, Variances unknown, Inference on the Variances of
two normal populations, Inference on two population proportions.
NON-PARAMETRIC TESTS- Chi-square tests, Goodness of fit and Contingency table tests
Module-4
SIMPLE LINEAR REGRESSIONS AND CORRELATION: Simple Linear Regression, Properties of Least
square Estimators and Estimation of variances, Common abuses of regression, Prediction of new observations,
Assessing the adequacy of regression model, Transformations to a straight line, Introduction to multiple regression
(no problems), Correlation (Problems).
Module-5
DESIGN OF EXPERIMENTS: Strategy of experimentation, completely randomized single - factor experiment,
Tests on individual treatment means, the random effects model, the randomized complete block design, one way
analysis of variance and two way analysis of variance, 22 Factorial Design, 23 Factorial Design (Problems).
Course Outcomes:
CO1. Explain and report data set using data analysis, presentation and interpretation techniques to understand
various phenomena in the fields of engineering.
CO2.Apply various statistical processing techniques to handle a set of data to estimate probabilities.
CO3.Apply an appropriate statistical tool and analyze a specific set of data to estimate and draw conclusions about
population parameters.
CO4. Draw inferences about population parameters and relations between variables based on analysis of sample
data.
CO5. Design and conduct engineering experiments involving 2 factors with 2 or 3 levels.
Question paper pattern:
27
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Applied statistics and Probability for Engineers – Douglas C Montgomery, George CRunger, 2ndEdn, John
Wiley and Sons, ISBN-0-471-17027-5
2. Statistics for Management - Richard I Levin, David S Rubin, 6thEdn, Prentice Hall India, ISBN-81-203-
0893-X
Reference Books:
1. Probability and Statistics in Engineering - William W Hines, Douglas C Montgomery, 2ndEdn, John Wiley
and Sons
2. Business Statistics for Management and Economics - Daniel, Terrell, 6thEdn, Houghton Mifflin Company,
ISBN-0-395-62835-0
3. Probability and Statistics - Walpole & Mayer, MacMillan Publishing Company, 1989.
28
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
MATERIALS SCIENCE AND METALLURGY
Course Code 18IM45 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• To understand the different crystal structures
• To understand concepts imperfection in crystals and their effects on properties of the material
• To learn the mechanism of diffusion and distinguish between steady and non-steady types.
• To appreciate the significance and construction of phase diagrams
• To construct the iron carbon equilibrium diagram and identify different phases
• To understand the properties of different metals resulting from different heat treatments
• To understand Fatigue phenomena and creep mechanism
• To have a knowledge of steels and cast irons, ferrous alloys, low, medium and high carbon, AISI
designation steels.
• To know the properties and applications of Ceramic materials
• T understand different composite materials and their applications
Module-1
Crystal structure:-Unit Cells, Crystal systems, BCC, FCC, and HCP structures, coordination number and atomic
packing factors. Crystal Imperfection: Point, line and surface imperfections.
Atomic diffusion: Fick's laws of diffusion, factors affecting diffusion, Steady and non-steady state diffusions.
Module-2
Dislocation characteristics of dislocations slip systems: slip in single crystals, Plastic deformation of
polycrystalline materials, Deformation by twinning. Fracture: Types of fracture, ductile and brittle fracture,
Ductile to brittle transition temperature.
Fatigue and creep: cyclic stresses SN curves, crack initiation and propagation, Factors affecting fatigue life.
Creep behaviour: stress and temperature effects.
Module-3
Phase Diagrams: Solid solutions, Hume-Rothary rules-substitutional and interstitial solid solutions, Intermediate
phases, Gibbs phase rule, construction of equilibrium diagrams, lever rule. Iron-carbon equilibrium diagrams:
solidification of steels and cast irons, Invariant reactions, TTT curves, and continuous cooling curves.
Module-4
Heat Treatment of Metals: annealing, normalizing, hardening, and tempering: martempering, austempering.
Hardenability, surface hardening methods like carburizing, cyaniding, nitriding, flame hardening and induction
hardening. Age hardening of aluminium–copper alloys.
Recovery, recrystallization and grain growth: Recrystallization temperature, annealing temperature v/s cold-
worked and recovered grains, Direction of grain boundary motion, time v/s grain diameter.
Module-5
Steels and cast irons: Ferrous alloys, steels: low, medium and high carbon, AISI designation steels.Cast irons –
types, properties and applications.
Ceramics: Glasses, Glass – ceramics, clay products, refractories, abrasives.
Composite materials: Types of matrix & reinforcements materials. Application of fiber reinforced, metal matrix
and ceramic composites: Aerospace, automobile and military
Course Outcomes: After the completion of the course, a student will
• Estimate the impact of imperfection on the property of the material
• Analyze steady and non-steady types of diffusion and solve related problems
• Construct the iron carbon diagram and TTT curves.
• Estimate the hardness and other properties of metals obtained from different heat treatment processes.
• Select the right iron-carbon alloy for any given application.
Text Books:
1. William D Callister, “An Introduction -Material’s Science and Engineering”, John Wiley and Sons India Pvt
Ltd., 6th Edition, 2006 New Delhi.
2. Smith -Foundation of Material Science and Engineering, 3rd Edition, McGraw Hill, 1997.
29
3. Donald R Askland, Pradeep. P. Phule -Essentials of Materials for Science and Engineering, Thomson
Engineering, 4th edition 2003.
Reference Books:
1. V Raghavan -Physical Metallurgy, Principles and Practices, PHI, 2nd Edition 2006, New Delhi.
2. Materials science and Metallurgy O.P Khanna, revised edition 2017. Dhanpat Rai Publications
3. James F Shackelford -Introduction to Material Science for Engineering, 6th edition
4. Pearson Prentice hall, New Jersey, 2006.
30
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
WORK STUDY AND ERGONOMICS
Course Code 18IM46 CIE Marks 40
Teaching Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Define concepts related to principles of productivity & work study as a tool for increasing the efficiency
and effectiveness in organizational systems.
2. Differentiate the existing method, compare and propose a new method.
3. Recognize the usage of the various tools and techniques used in work measurement.
4. Demonstrate basic ideas of ergonomics and its design.
5. Analyze the concepts related Man-Machine Interfaces and Design of Displays and controls
Module-1
Productivity and Work Study: Definition of productivity, task of management, productivity of materials, land,
building, machine and power factors affecting the productivity, work content, basic work content, excess work
content, how manufacturing job is made up, work content due to excess product and process, ineffective time due
to short comings on part of the management.
Definition, Objective and scope of Work Study: Work study and management, work study and worker
Module-2
Method Study: Definition, objective and scope of method study, activity recording and tools, Recording tools:
Out Line Process Chart, Flow Process Chart, Flow diagram, String Diagram, Travel Chart, Multiple Activity
Chart, Two- Handed process chart.
Principles of Motion Economy: Introduction, Classification of movements. Two- hand process chart,
Micromotion study, Therbligs, SIMO Chart. Special Charts: Cyclegraph and Chronocycle graph - development,
definition and installation of the improved method.
Module-3
Work Measurement: Definition, objectives, and work measurement techniques.
Work sampling – Need, confidence levels, and sample size determination, conducting study with problems.
Time study - Definition, time study equipment, selection of job, steps in time study. Breaking jobs into elements,
recording information.
Rating: Systems of rating, standard rating, standard performance, scales of rating.
Allowances: Standard time determination, predetermined motion time study (PMTS), factors affecting rate of
working, problems on allowances
Module-4
Introduction to Ergonomics: Human factors and ergonomics, psychology, engineering, bio mechanics, industrial
design, graphics design, statistics, operation research and anthropometry Morphology of design and its relationship
with cognitive abilities of human being.
Physical Ergonomics: human anatomy, and some of the anthropometric, physiological and bio mechanical
characteristics as they relate to physical activity. Cognitive: mental processes, such as perception, memory,
reasoning, and motor response, mental workload, and decision-making.
Module-5
Man-Machine Interaction; Man-Machine interaction cycle, Man-machine interfaces, Displays: factors that
control choice of display, visual displays- qualitative displays; moving pointer displays, moving scale displays,
digital displays Indicators, auditory displays, tactile displays. Factors affecting effectiveness of displays.
Quantitative displays, check- reading displays, representational displays. Types of controls and their integration
with displays.
Design guidelines for displays and controls: viewing distance, Illumination, angle of view, reach etc., general
design checklist for displays and controls. Standards for ergonomics in engineering and design, displays and
controls
31
Course Outcomes: At the end of the course the student will be able to:
1. Recollect the basic concepts of productivity, work content and work study and define the objective and scope of
Work Study.
2. Define the various charts and to construct the charts on the basis of present method and develop a new /
proposed method and identify the unnecessary movements.
3. Explain the basic work measurement techniques and to gain knowledge of measurement of work, rating and
imbibe the concept of allowance in estimating Standard Time.
4. Determine the basic concepts of Ergonomics and demonstrate a sound knowledge of Ergonomics in engineering
applications.
5. Demonstrate a sound knowledge of Man-Machine Interfaces and design of displays and controls in engineering
systems
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl No Title of the Book Name of the
Author/s Name of the Publisher
Edition and
Year
Textbook/s
1 Introduction to Work Study – ILO International Labor
Organization
4th edition
1992
2 Human Factor in Engineering and
Design
Mark. S.
Sanders and
Ernest. J Mc
Cornick
Mc Graw-Hill Book Co.,
Inc., New York,
1993
Reference Books
3 Work Study and Ergonomics S. Dalela and
Sourabh
Standard publishers 2013
4 “Human Factors Design andbook Wesley
Woodson,
Peggy Tillman
and Barry
Tillman
McGraw-Hill; 2ndedition 1992
5 Motion and Time Study Ralph M.
Barnes
Wiley International, 7th
Edition
32
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
MACHINE SHOP
Course Code 18IML37/47 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
To provide an insight to different machine tools, accessories and attachments
• To train students into machining operations to enrich their practical skills
• To inculcate team qualities and expose students to shop floor activities
• To educate students about ethical , environmental and safety standards
Experiments:
PART – A Preparation of three models on lathe involving Plain turning, Taper turning, Step turning, Thread cutting, Facing,
Knurling, Drilling, Boring, Internal Thread cutting and Eccentric turning.
PART – B Cutting of V Groove/ dovetail / Rectangular groove using a shaper.
Cutting of Gear Teeth using Milling Machine.
Course Outcomes: • Perform turning, facing, knurling, thread cutting, tapering, eccentric turning and allied operations, keyways /
slots, grooves etc using shaper.
• Perform gear tooth cutting using milling machine.
• Understand the formation of cutting tool parameters of single point cutting tool using bench grinder / tool and
cutter grinder, Surface Milling/Slot Milling.
• Demonstrate precautions and safety norms followed in Machine Shop.
• Exhibit interpersonal skills towards working in a team.
Scheme of Examination:
One question is to be set from Part-A: 50 marks
One question is to be set from either
Part-B or Part-C: 30 marks
Viva-voce: 20 marks
33
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
METROLOGY AND MEASUREMENTS LAB
Course Code 18IML38/48 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
1. To illustrate the theoretical concepts taught in Mechanical Measurements & Metrology through experiments.
2. To illustrate the use of various measuring tools measuring techniques. 3. To understand calibration techniques
of various measuring devices.
PART – A 1. Calibration of Pressure Gauge
2. Calibration of Thermocouple
3. Calibration of LVDT
4. Calibration of Load cell
5. Determination of modulus of elasticity of a mild steel specimen using strain gauges.
PART – B 1. Measurements using Optical Projector / Toolmaker Microscope.
2. Measurement of angle using Sine Center / Sine bar / bevel protractor
3. Measurement of alignment using Autocollimator / Roller set
4. Measurement of cutting tool forces using
a. Lathe tool Dynamometer
b. Drill tool Dynamometer.
5. Measurement of Screw threads Parameters using Two wire or Three-wire method.
6. Measurements of Surface roughness, Using Tally Surf/Mechanical Comparator
7. Measurement of gear tooth profile using gear tooth vernier /Gear tooth micrometer
8. Calibration of Micrometer using slip gauges
9. Measurement using Optical Flats
Course Outcomes:
• To calibrate pressure gauge, thermocouple, LVDT, load cell, micrometer.
• To measure angle using Sine Center/ Sine Bar/ Bevel Protractor, alignment using Autocollimator/ Roller set.
• To demonstrate measurements using Optical Projector/Tool maker microscope, Optical flats. • To measure
cutting tool forces using Lathe/Drill tool dynamometer.
• To measure Screw thread parameters using 2-Wire or 3-Wire method, gear tooth profile using gear tooth
vernier/Gear tooth micrometer.
• To measure surface roughness using Tally Surf/ Mechanical Comparator.
Scheme of Examination:
ONE question from part -A: 20 Marks
ONE question from part -B: 40 Marks
Viva -Voice: 20 Marks Total: 80 Marks
34
B. E. Common to All Programmes
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - IV
ADDITIONAL MATHEMATICS – II (Mandatory Learning Course: Common to All Programmes)
(A Bridge course for Lateral Entry students under Diploma quota to BE/B. Tech programmes)
Course Code 18MATDIP41 CIE Marks 40
Teaching Hours/Week (L:T:P) (2:1:0) SEE Marks 60
Credits 00 Exam Hours 03
Course Learning Objectives:
• To provide essential concepts of linear algebra, second & higher order differential equations along with
methods to solve them.
• To provide an insight into elementary probability theory and numerical methods.
Module-1
Linear Algebra: Introduction - rank of matrix by elementary row operations - Echelon form. Consistency of system
of linear equations - Gauss elimination method. Eigen values and eigen vectors of a square matrix. Problems.
Module-2
Numerical Methods: Finite differences. Interpolation/extrapolation using Newton’s forward and backward
difference formulae (Statements only)-problems. Solution of polynomial and transcendental equations –
Newton-Raphson and Regula-Falsi methods (only formulae)- Illustrative examples. Numerical integration:
Simpson’s one third rule and Weddle’s rule (without proof) Problems.
Module-3
Higher order ODE’s: Linear differential equations of second and higher order equations with constant coefficients.
Homogeneous /non-homogeneous equations. Inverse differential operators.[Particular Integral restricted to ���� =
���,�����
�����, �� ��� ����� = ����.
Module-4
Partial Differential Equations (PDE’s): Formation of PDE’s by elimination of arbitrary constants and functions.
Solution of non-homogeneous PDE by direct integration. Homogeneous PDEs involving derivative with respect to
one independent variable only.
Module-5
Probability: Introduction. Sample space and events. Axioms of probability. Addition & multiplication theorems.
Conditional probability, Bayes’s theorem, problems.
Course Outcomes: At the end of the course the student will be able to:
• Solve systems of linear equations using matrix algebra.
• Apply the knowledge of numerical methods in modelling and solving of engineering problems.
• Apply the knowledge of numerical methods in modelling and solving of engineering problems.
• Classify partial differential equations and solve them by exact methods.
• Apply elementary probability theory and solve related problems.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
Sl.
No. Title of the Book
Name of the
Author/s Name of the Publisher Edition and Year
Textbook
1 Higher Engineering Mathematics B. S. Grewal Khanna Publishers 43rd Edition, 2015
Reference Books
1 Advanced Engineering
Mathematics
E. Kreyszig John Wiley & Sons 10th Edition, 2015
2 Engineering Mathematics Vol. I Rohit Khurana Cengage Learning 2015.
35
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
MANAGEMENT AND ENTREPRENUERSHIP
Course Code 18IM51 CIE Marks 40
Teaching Hours/Week (L:T:P) (2:2:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Demonstrate the concepts of management, planning, organizing and staffing.
2. Apply the knowledge to become entrepreneur.
3. Analyze and Differentiate the requirements towards the small-scale industries and project preparation
4. Analyze and choose the appropriate institutional support to succeed as an entreprenuer.
Module-1
MANAGEMENT: Introduction- Meaning- nature and characteristics of Management, Scope and Functional areas
of management -Management as a science, art of profession -Management &Administration –Roles of
Management, Levels of Management, Development of Management Thought early management approaches-
Modem management approaches.
Module-2
ORGANIZING AND STAFFING: Nature and purpose of organization Principles of organization-Types of
organization-Departmentation Committees- Centralization Vs Decentralization of authority and responsibility-
Span of control-MBO and MBE(Meaning Only) Nature and importance of staffing— :Process of Selection&
Recruitment.
DIRECTING & CONTROLLING :Meaning and nature of directing Leadership styles, Motivation Theories,
Communication- Meaning and importance; Coordination- meaning and importance and Techniques of
Coordination. Meaning and steps in Controlling- Essentials of a sound control system-Methods of establishing
control system-Methods of establishing control.
Module-3
ENTREPRENEUR: Meaning of Entrepreneur; Evolution of the Concept; Functions of an Entrepreneur, Types of
Entrepreneur, Entrepreneur-an emerging. Class. Concept of Entrepreneurship-Evolution of Entrepreneurship,
Development of Entrepreneurship; Stages in entrepreneurial process; Role of Entrepreneurs in Economic
Development; Entrepreneurship in India; Entrepreneurship- its Barriers.
Module-4
SMALL SCALE INDUSTRIES: Definition; Characteristics; Need and rationale; Objectives; Scope; role of SSI
in Economic Development. Advantages of SSI Steps to start and SSI-Government policy towards SSI; Different
Policies of SSI; Government Support for SSI during 5year plans. Impact of Liberalization, Privatization,
Globalization on SSI Effect of WTO/GATT Supporting Agencies of Government for SSI, Meaning, Nature of
support; Objectives; Functions; Types of Help; Ancillary Industry and Tiny Industry.
Module-5
INSTITUTIONAL SUPPORT: Different Schemes; TECKSOK;KIADB; KSSIDC; KSIMC; DIC Single
Window Agency ;SISI; NSIC; SIDBI; KSFC.
PREPARATION OF PROJECT: Meaning of Project; Project Identification; Project Selection; Project Report;
Need and Significance of Report; Contents; Formulation; Guidelines by Planning Commission for Project report;
Network Analysis; Errors of Project Report; Project Appraisal. Identification of business opportunities: Market
Feasibility Study; Technical Feasibility Study; Financial Feasibility Study & Social Feasibility Study.
Course Outcomes: At the end of the course the student will be able to:
1. Explain about the management and planning.
2. Apply the knowledge on planning, organizing, staffing, directing and controlling.
3. Describe the requirements towards the small-scale industries and project preparation
4. Choose the right institutional support for a given line of business.
36
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl No Title of the Book Name of the
Author/s Name of the Publisher
Edition and
Year
Textbook/s
1 Principles of Management P.C.Tripathi,
P.N.Reddy
Tata Mc Graw Hill,
2 Dynamics of Entrepreneurial
Development &Management
Vasant Desai Himalaya Publishing
House
Reference Books
3 Management Stephen P
Robbins
PearsonEducation/PHI-
17thEdition
2003.
4 Entrepreneurship Development Poornima. M.
Charantimath
Small Business Enterprises-
Pearson Education
2006(2&4).
5 Management Fundamentals -
Concepts, Application, Skill
Development
Roberts Lusier Thomson
37
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
OPERATIONS RESEARCH
Course Code 18IM52 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objective: To analyze different situations in industrial and business scenario with limited
resources and obtain optimal solution within given constraints.
Module-1
Introduction: Evolution of OR, definition of OR, scope of OR, application areas of OR, steps (phases) in OR
study, characteristics and limitations of OR, models used in OR, linear programming (LP) problem-formulation
and solution by graphical method.
Solution of Linear Programming Problems: The simplex method, canonical and standard form of an LP
problem, slack, surplus and artificial variables, big M method and concept of duality, dual simplex method.
Module-2
Transportation Problem: Formulation of transportation problem, types, initial basic feasible solution using
different methods, optimal solution by MODI method, degeneracy in transportation problems, application of
transportation problem concept for maximization cases.
Assignment Problem: Formulation, types, application to maximization cases and travelling salesman problem,
flight scheduling problem.
Module-3
Project Management using Network Techniques: Introduction, network construction - rules, Fulkerson’s rule
for numbering the events, AON and AOA diagrams; Critical path method to find the expected completion time of
a project, floats; PERT for finding expected duration of an activity and project, determining the probability of
completing a project, predicting the completion time of project; crashing of simple projects (network construction
by AOA approach can be used for all the cases).
Module-4
Queuing Theory: Queuing systems and their characteristics, Pure-birth and Pure-death models (only equations),
empirical queuing models – M/M/1 and M/M/C models (no derivations) and their steady state performance
analysis.
Module-5
Game Theory: Formulation of games, types, solution of games with saddle point, graphical method of solving
mixed strategy games, dominance rule for solving mixed strategy games.
Course Outcomes: At the end of the course, the student will be able to:
CO1: Solve problems with application of methodology of Operations Research so as to formulate decision making
problems into OR models such as LP
CO2: Apply the models of transportation and Assignment to incorporate rational decision making process in real
life situations.
CO3: Analyse Project networks for the duration and cost of Project
CO4: Analyse business situations with the application of Queuing and Game theory techniques to determine value
of game and measures of performance of a queuing system.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Operations Research - P K Gupta and D S Hira, S Chand Publications, New Delhi, Recent edition.
2. Operations Research -S.D. Sharma – Kedarnath, Ramnath & Co – Recent edition.
Reference Books
1. Operation Research An Introduction, Taha H A, 8th Edition, 2004, PHI, ISBN: 0130488089.
2. Operations Research: Principles and Practice, Ravindran, Phillips, Solberg, 2nd Edition, 2007, John Wiley &
Sons, ISBN8126512563
3. Introduction to Operation Research, Hiller and Liberman, 8th Edition, 2004, Tata McGraw Hill, ISBN:
38
0073017795.
4. Operations Research Theory and Application, J K Sharma, 2nd Edition, 2003, Pearson Education Pvt Ltd,
ISBN: 0333-92394-4.
39
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
QUALITY ASSURANCE AND RELIABILITY
Course Code 18IM53 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objectives:
• Understand basics of quality control and quality improvement
• Construct control charts for variables and attributes to monitor processes and interpret the charts.
• Perform process homogenization & process harmonization, & to estimate capability of various processes.
• Develop strategies for selecting lots based on single sampling and double sampling plans.
• Perform Reliability evaluation of Mechanical, Electrical, and Electronics systems.
Module-1
Introduction: Dimensions of Quality, Statistical Methods for Quality, Quality costs, Seven QC tools. Quality
assurance, departmental assurance activities, ISO 9000, 14000 standards.
Statistical Process Control: Chance and assignable causes of variation. Statistical basis of control charts, Basic
principles of control charts, choice of control limits, sample size and sampling frequency, rational sub groups,
statistical basis of control charts. Analysis of patterns of control charts.
Module-2
Control Charts for Variable and Attribute Data: Controls charts for mean and Range, Control charts for mean
and standard deviation. Controls chart for fraction non- conforming (p, np charts), Control chart for non-
conformities (c and u charts).
Process capability – methods of estimating process capability, Process capability indices- !and !".
Module-3
SAMPLING INSPECTION: Concept of accepting sampling, economics of inspection, Acceptance plans –
single, double and multiple sampling. Operating characteristic curves – construction and use. Determination of
Average outgoing quality, average outgoing quality level, average total inspection, producer risk and consumer
risk.
Module-4
STATISTICAL THEORY OF TOLERANCES: Application of statistical theory of tolerances to design
tolerances in random assemblies and application in other areas. Gauge Repeatability & Reproducibility &
Measurement system analysis.
Module-5
RELIABILITY AND LIFE TESTING: Failure models of components, definition of reliability, MTBF, Failure
rate, common failure rate curve, types of failure, reliability evaluation in simple cases of exponential failures in
Series, parallel and series-parallel device configurations, Redundancy and improvement factors evaluation.
Course Outcomes: 1. Explain the fundamentals of quality control and improvement.
2. Apply modern statistical methods for process quality control and improvement.
3. Select suitable acceptance sampling schemes to reduce inspection effort and cost.
4. Apply statistical theory of tolerances to design tolerances in random assemblies.
5. Determine reliability in series, parallel and series-parallel device configurations.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
TEXT BOOKS
1. Introduction to statistical Quality Control - D C Montgomery – John Wiley and Sons – 3rd Edition.
2. Quality Planning & Analysis - J M Juran, Frank M Gryna – Tata McGraw Hill - 3rd edition
3. Statistical Quality Control - Grant and Leavenworth - McGraw Hill-6th Edition
REFERENCE BOOKS:
40
1. The QS9000 Documentation Toolkit -Janet L Novak and Kathleen C Bosheers - Prenctice Hall PTR - 2nd
Edition.
2. ISO 9000 a Manual for Total Quality Management - Suresh Dalela and Saurabh - S Chand and Co. -1st
Edition.
41
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
ENGINEERING ECONOMY
Course Code 18IM54 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Define the fundamentals of engineering economics.
2. Explain the concepts of decision making, problem solving, and comparison of the alternatives
3. Demonstrate the understanding of concept depreciation and replacement analysis.
4. Illustrate concept of money and its importance in evaluating the engineering projects.
5. Evaluate the alternatives based on the present annual worth and equivalent annual worth methods.
Module-1
Introduction: Engineering decision – makers, engineering and economics, problem solving, intuition and
analysis, tactics and strategy with an example.
Interest and Interest Factors: Interest rate, simple interest compound interest, interest formulae, time value
equivalence exercises, problems and discussion.
Module-2
Present Worth Comparison: Conditions for present worth comparisons, rule 72, basic present worth
comparisons, present worth equivalence, net present worth, assets with equal and unequal lives, comparison of
assets assume to have infinite lives, exercises and problems. Module-3
Equivalent Annual Worth Comparisons: Situations for equivalent annual worth comparison, net annual worth
of a single project, comparison of net annual worth’s definitions of asset life, comparison of assets with equal and
unequal lives, exercises and problems.
Module-4
Depreciation: Introduction, methods of depreciation, problems.
Replacement Analysis: Reasons- Deterioration, obsolescence, inadequacy, replacement criteria problems.
Module-5
Estimating and Costing: components of costs such as direct material cost, direct labor cost, Fixed, over – heads,
factory costs, administrative – overheads, first cost, selling price, calculation of the total cost of various
components, mensuration, estimation of simple components
Course Outcomes: At the end of the course the student will be able to:
1. Demonstrate the importance of Engineering Economy in engineering decision making.
2. Compare the various alternatives based on economy fundamentals.
3. Compare of asset life using net annual worth - assets with equal and unequal lives.
4. Apply concepts of depreciation and find the value of assets. Demonstrate skills in replacement decisions.
5. Estimate the cost of engineering operations and processes by determining the elements of cost.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl
No Title of the Book
Name of the
Author/s Name of the Publisher Edition and Year
Textbook/s
1 Engineering Economy Riggs J.L McGraw Hill, 2002
2 Engineering Economy NVR. Naidu,
KM Babu and
G.Rajendra
New Age International Pvt.
Ltd
2006.
42
Reference Books
3 Engineering Economy Theusen.G PHI, 2002
4 Financial Management I M Pandey Vikas Publishing House 2002.
5 Engineering Economy Paul Degarmo Macmillan Pub, Co. 2001
43
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
FACILITY PLANNING AND LAYOUT DESIGN
Course Code 18IM55 CIE Marks 40
Teaching Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Recognize the importance of location, layouts and material handling
2. Determine different approaches to layout and draw activity relationship chart
3. Illustrate space requirements and demonstrate skills in area of allocation and construct the layout.
4. Examine the quantitative approaches to facility planning and identify the different models
5. Compare different computerized techniques and model appropriate design.
Module-1
Plant Location: Factors influencing plant location, theories of plant location, plant layout – objectives of plant
layout, principles of plant layout, types of plant layout, their merits and demerits, facilities design function:
objectives. Simple exercises on layouts.
Introduction to Material Handling: Objectives and principles of material handling, unit load concept, Basic
handling equipment types, Common material handling equipments
Module-2
Plant Design: Layout procedure, study of some approaches (Immer, Nadler, Muther, Apple James and Reed’s
approach), systematic layout planning, the activity relationship chart, Constructing the activity relationship chart,
Activity relationship diagram.
Module-3
Space Determination and Area Allocation: Factors for consideration in space planning, receiving, storage,
production, shipping, tool room and tool crib, other auxiliary service actions, establishing total space requirement,
area allocation factors to be considered, expansion, flexibility, aisles column, area allocation procedure, the plot
plan.
Construction of the Layout: Methods of constructing the layout, evaluation of layout, efficiency indices,
presenting layout to management.
Module-4
Quantitative approaches to facilities planning: Deterministic models, single and multi facility models,
Conventional layout model: Block stacking, location allocation models,
Layout Models: Warehouse layout models, waiting line models, Storage models.
Module-5
Computerized Layout Planning: Computerized relative allocation of facility techniques (CRAFT),Plant layout
Evaluation Techniques(PLANET), Computerized Relationship Layout Planning (CORELAP), Comparison of
computerized layout techniques.
Course Outcomes: 1. Identify the planning strategies for implementation, evaluation and maintaining the facility.
2. Arrive at suitable layout for given situations having understand different approaches.
3. Demonstrate the Space determination and area allocation procedure, construction of the layout.
4. Analyze the quantitative methods and models to determine for the plant location. Explain the warehouse
and waiting line models.
5. Demonstrates the ideas on various types of layout and evaluation techniques using computers.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl No Title of the Book Name of the
Author/s Name of the Publisher
Edition and
Year
Textbook/s
44
1 Plant layout and material
handling
James M. Apple 3nd edition John, Wiley and
sons
1991
2 Facility layout and location Françoise, R.L.
and White, J.A
McGraw Hill 2nd edition 1994
Reference Books
3 Plant layout design James.M Moore Mac Millan co. 1962
4 Facilities design Sunderesh
Heragu
PWS publishing company-
ISBN-0-534-95183
August 2008
5 Facilities planning Tompkins
White
Wiley India Pvt ltd 3rd
edition
45
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
MATERIALS MANAGEMENT
Course Code 18IM56 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives: To provide the students with the knowledge of
1. Systems approach to materials management
2. Forecasting and materials planning
3. Purchase procedure of raw materials and capital equipment’s
4. Supplier relationship management. Inventory analysis and computerized stores management
Module-1
Introduction: Dynamics of Materials Management - Materials Management at Micro-level, Materials Management
at Macro-level. Definition of Material Management.
Systems Approach to Materials Management: Systems Approach -, Function of Materials Department Interfaces,
Benefits of the Integrated Systems Approach.
Module-2
FORCASTING, Objectives and the Materials Organization: Forecasting and Planning, Forecasting Methods,
Objectives of Materials Management, Leadership Style, Materials Planning: Making the Materials Plan Work,
the Materials Cycle and Flow Control System.
Purchasing: Purchasing Principles, Procedures and Practices, Fundamental Objectives of Purchasing - Scope,
Responsibility and Limitations, Sources of Supply and Supplier Selection, Purchasing Policy and Procedures.
Module-3
Purchasing in Materials Management System Concept: -Definition of purchasing terms Negotiation,
Reciprocity, Cost-Plus Contracts, Hedging, Forward Buying, Buying Ethics, Principles and Standards of
Purchasing, Make-or-Buy, Information, Legal Aspects of Purchasing, Law of Agency, Law of Contract, Legal
Status of the Buyer, Warranties and Conditions, Right of Inspection, Right of Rejection, Vendor-Vendee Relations,
Vendor Development, Vendor Rating.
Module-4
Purchasing Capital Equipment, Plant and Machinery: Responsibility and Decision, Purchasing v/s Leasing,
International Buying, Import Purchasing, and Governmental Purchasing: Industrial Needs, Import Procedure
and Documents, Basis of Licensing, Import Purchasing Procedures, Letter of Credit, Income-Tax Clearance,
Customs Tariff-Registration of Licenses at Port. Governmental Purchasing Policy and Procedures, Tenders.
Registration of Firms, Procedure for Registration, Terms of Registration, Removal of the Firms from the List,
Blacklisting of Firms, Banning of Firms.
Inventory Management and Control Systems: Definition of Inventories, The Need for Inventory Audits Control,
Types of Inventories, Inventory Control
Module-5
Q-system or Quantity Control System or Re-order Point System-Effect of Quantity Discounts, P-system or
Periodic Review or Periodic Count System or Replenishment System, Optional Replenishment System or "S, s"
Policy. Discussion on ABC Analysis, advantages and disadvantages. MRP system and MPS system
Materials Management Information System and Computer: MIS - Management and MM, Computer System for
MIS and MM, In-process Materials and Management Control
Course Outcomes: A student will be able to
• Understand the dynamics of Material Management and system approach to materials managements.
• Understand the organization of Material Management.
• Understand applying and analyzing concepts and principles of management in purchasing.
• Understand the requirements for the registration of firms.
• Apply the equation to INV control and analyzing the INV system
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
46
Text Book:
• K. Datta., Materials Management, PHI Pvt. Ltd, New Delhi, 2001.
Reference Book:
• P. Gopalakrishnan, Handbook of Materials Management, PHI Pvt. Ltd, New Delhi, 2002.
47
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
MECHANICAL LAB
Course Code 18IML57 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
• This course will provide a basic understanding of fuel properties and its measurements using various types of
measuring devices
• Energy conversion principles, analysis and understanding of I C Engines will be discussed. Application of these
concepts for these machines will be demonstrated. Performance analysis will be carried out using characteristic
curves.
Experiments:
PART – A
(Individual experiments) Determination of Flash point and Fire point of lubricating oil using Abel Pensky Martins Apparatus
Determination of Calorific value of solid and gaseous fuels.
Determination of Viscosity of a lubricating oil using Redwoods and Say bolts – Viscometers.
PART – B
Group experiments Performance Tests on Four stroke Petrol and Diesel Engines, Calculations of IP, BP, Thermal efficiencies, SFC, FP
and heat balance sheet
Performance Test on Four stroke Petrol - Calculations of IP, BP, Thermal efficiencies, SFC. Multi cylinder petrol /
diesel engine (Morse Test)
Calibration of Venturi meter, Flow through pipes
Performance test on centrifugal and reciprocating pumps
Course Outcomes:
• Perform experiments to determine the properties of fuels and oils.
• Conduct experiments on engines and draw characteristics.
• Test basic performance parameters of I.C. Engine
From part A one question: 30 Marks
From part B one question: 50 Marks
Viva –Voice : 20 Marks
Total : 100 Marks
48
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - V
WORK STUDY & ERGONOMICS LAB
Course Code 18IML58 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
PART – A METHOD STUDY
Recording Techniques: Preparing the following charts and diagrams (Minimum 3 Charts)
Outline process chart
Multiple Activity Chart
Flow process chart and Flow diagram
String diagram,
Experiments on the Application of principle of motion economy, Two handed process chart. Exercises on
conducting method study for assembling simple components and office work. Development of Layout plans using
SLP technique. Experiments on Line balancing.
PART – B
WORK MEASUREMENT
1. Rating practice using: walking simulator, pin board assembly, dealing a deck of cards
and marble collection activity
2. Determining the standard time for simple operations using stopwatch time study
3. Exercises on estimating standard time using PMTS.
4. Determination of standard time using PDA device and time study software
5. Measurement of parameters (heart beat rate, calorie consumption) using walking simulator
6. Measurement of parameters (heart beat rate, calorie consumption, revolutions per minute) using ergometer
7. Effect of Noise, Light, Heat on human efficiency in work environments.
Course Outcomes:
• Demonstrate the use of tools and techniques of work study and ergonomics.
• To record the activity systematically using different process charts and conduct method study.
• To rate a worker doing varies activities.
• To determine standard time of a job.
• To determine the effect of work on human body and also to determine the effect of noise, light, heat
in work environment on productivity.
From part A one question: 30 Marks
From part B one question: 50 Marks
Viva –Voice : 20 Marks
Total : 100 Marks
REFERENCE BOOKS: 1. ILO, Introduction to work study - III Revised Edition, 1981
2. Motion and Time study - Ralph M Barnes; John Wiley, 8th Edition, 1985.
3. Engineered work Measurement - Wledon, ELBS , 1991
4. Motion and Time study - Marvin E. Mundel-, PHI, 1st edition
49
B. E. COMMON TO ALL PROGRAMMES
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER – V
ENVIRONMENTAL STUDIES
Course Code 18CIV59 CIE Marks 40
Teaching Hours / Week (L:T:P) (1:0:0) SEE Marks 60
Credits 01 Exam Hours 02
Module - 1
Ecosystems (Structure and Function): Forest, Desert, Wetlands, Riverine, Oceanic and Lake.
Biodiversity: Types, Value; Hot-spots; Threats and Conservation of biodiversity, Forest Wealth, and
Deforestation.
Module - 2
Advances in Energy Systems (Merits, Demerits, Global Status and Applications): Hydrogen, Solar, OTEC,
Tidal and Wind.
Natural Resource Management (Concept and case-studies): Disaster Management, Sustainable Mining, Cloud
Seeding, and Carbon Trading.
Module - 3
Environmental Pollution (Sources, Impacts, Corrective and Preventive measures, Relevant Environmental
Acts, Case-studies): Surface and Ground Water Pollution; Noise pollution; Soil Pollution and Air Pollution.
Waste Management & Public Health Aspects: Bio-medical Wastes; Solid waste; Hazardous wastes; E-wastes;
Industrial and Municipal Sludge.
Module - 4
Global Environmental Concerns (Concept, policies and case-studies): Ground water depletion/recharging,
Climate Change; Acid Rain; Ozone Depletion; Radon and Fluoride problem in drinking water; Resettlement and
rehabilitation of people, Environmental Toxicology.
Module - 5
Latest Developments in Environmental Pollution Mitigation Tools (Concept and Applications): G.I.S. &
Remote Sensing, Environment Impact Assessment, Environmental Management Systems, ISO14001;
Environmental Stewardship- NGOs.
Field work: Visit to an Environmental Engineering Laboratory or Green Building or Water Treatment Plant or
Waste water treatment Plant; ought to be Followed by understanding of process and its brief documentation.
Course Outcomes: At the end of the course, students will be able to:
• CO1: Understand the principles of ecology and environmental issues that apply to air, land, and water
issues on a global scale,
• CO2: Develop critical thinking and/or observation skills, and apply them to the analysis of a problem
or question related to the environment.
• CO3: Demonstrate ecology knowledge of a complex relationship between biotic and abiotic components.
• CO4: Apply their ecological knowledge to illustrate and graph a problem and describe the realities that
managers face when dealing with complex issues.
Question paper pattern:
• The Question paper will have 100 objective questions.
• Each question will be for 01 marks
• Student will have to answer all the questions in an OMR Sheet.
• The Duration of Exam will be 2 hours.
Sl. No. Title of the Book Name of the
Author/s Name of the Publisher
Edition and
Year
Textbook/s
1 Environmental Studies Benny Joseph Tata Mc Graw – Hill.
2ndEdition, 2012
2. Environmental Studies S M Prakash Pristine Publishing House,
Mangalore
3rdEdition, 2018
3 Environmental Studies –
From Crisis to Cure
R Rajagopalan Oxford Publisher 2005
Reference Books
1 Principals of Environmental Raman Sivakumar Cengage learning, 2ndEdition, 2005
50
Science and Engineering Singapur.
2 Environmental Science –
working with the Earth
G.Tyler Miller Jr. Thomson Brooks /Cole,
11thEdition, 2006
3 Text Book of Environmental
and Ecology
Pratiba Sing,
Anoop Singh&
Piyush Malaviya
Acme Learning Pvt. Ltd.
New Delhi.
1stEdition
51
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
SIMULATION MODELING AND ANALYSIS
Course Code 18IM61 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objectives:
1. Define basic concepts of simulation modelling and replicating the practical situations in organizations.
2. Generate and test random number variates using different techniques and apply them to develop simulation
models.
3. Analyse and interpret output data produced by a model, and test validity of the model.
Module-1
Introduction to Simulation: Simulation, advantages & disadvantages, Areas of application, System environment,
Components of a system, Model of a system, Types of models, steps in a simulation study.
Simulation Examples: Simulation of Queuing systems, simulation of Inventory System
Tutorial: Case study discussion on Queuing systems and Inventory System
Module-2
General Principles: Concepts in discrete events simulation, event scheduling/Time advance algorithm, simulation
using event scheduling.
Random Numbers: Properties, Generations methods, Tests for Random Number-Frequency test, Runs test, Gap
Test, Poker Test
Tutorial: Additional Problems on event scheduling.
Module-3
Random Variate Generation: Inverse Transform Technique-Exponential, Uniform, Weibull, Triangular
distributions, direct transformation for Normal and log normal Distributions, convolution methods-Erlang
distribution, Acceptance – Rejection Techniques – Poisson distribution
Tutorial: Additional Problems on Acceptance – Rejection Techniques
Module-4
Analysis of Simulation Data: Input Modelling: Data collection, Identification and distribution with data, parameter
estimation, Goodness of fit tests, Selection of input models without data, Multivariate and time series analysis
Verification and Validation of Model – Model Building, Verification, Calibration and Validation of Models.
Output Analysis: Stochastic Nature of output data, Measures of Performance and their estimation.
Tutorial: Case study on discussion on testing for goodness of fit.
Module-5
Optimization via Simulation: Meaning, Difficulty, Robust Heuristics, Random Search Applications: Simulation of
Manufacturing and Material Handling Systems, Simulation of Computer Systems
Simulation Softwares: Selection of Simulation Software, Simulation packages, Experiment and Statistical Analysis
tool, Trend in Simulation Software
Tutorial: Discussion of features of recent simulation packages.
Course Outcomes: CO1: Construct a model for a given set of data and motivate its validity.
CO2: Experiment with real-world situations related to systems development decisions, originating from source
requirements and goals.
CO3: Examine the behaviour of a dynamic system and create an analogous model.
CO4: Examine the behaviour of a dynamic system and create an analogous model.
CO5: Interpret the results and apply it to solve real-world problem.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
Discrete Event system Simulation – Jerry Banks, John S Carson, II, Berry L Nelson, David M Nicol - Pearson
Education, Asia - III Edition, ISBN - 81- 7808 – 505 - 4.
52
Reference Books:
1. Systems Simulation with Digital Computer –NarsinghDeo-PHI Publication (EEE), ISBN – 0-87692-028-8.
2. Simulation Modelling & Analysis – Averill M Law, W David Kelton - McGraw Hill International Editions –
Industrial Engineering series, ISBN – 0-07-100803-9.
3. System Simulation - Geoffrey Gordon - Prentice Hall publication, 2nd Edition, 1978, ISBN:81-203-0140-4.
53
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
OPERATIONS MANAGEMENT
Course Code 18IM62 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objectives:
• Importance of operations management. Able to forecast the demand for production sector.
• Solve problems using appropriate techniques of forecast.
• Study the decision methodology, understand Economic models, and statistical models Understand the
aggregate planning and master scheduling methods.
• Determine MRP and CRP to run the manufacturing and service sectors without interruption.
• Formulate the optimum scheduling strategies and methods.
Module-1
Operation Management Concepts: Introduction, Factors affecting productivity, Physical and information flows in
a production system. The environment of operations, Historical development of production systems, Contributions
of James Watt, Charles Babbage, Robert Owen, Thomas Alva Edition, Frederick Winslow Taylor, Henry Ford in
development of production systems. The trend: Information and Non- manufacturing systems.
Module-2
Forecast demand: Introduction, Forecasting objectives, Forecasting variables, how forecasting methods are
classified, explain opinion and judgmental methods, market trials method, Delphi technique, nominal group
technique, components of time series, Problems on simple moving average, Weighted moving average, Simple
(Single) exponential smoothing method, Regression and correlation method.
Module-3
Operations decision making: Introduction, Management as a science, Characteristics of decisions, framework for
decision making, decision methodology, decision support systems, economic models, and statistical probability
model.
Aggregate Planning and Master scheduling: Introduction, Flow chart of Aggregate plan and master schedule,
Aggregate planning guidelines, aggregate planning methods, Master scheduling objectives, Master scheduling
methods.
Module-4
Materials and capacity requirements planning: Overview: MRP and CRP, MRP: Underlying concepts, System
parameters, MRP logic, System refinements, Capacity management, CRP activities,
Scheduling and controlling activities: Introduction, PAC, Objectives and Data requirements, Scheduling strategy
and guide lines, Scheduling methodology, priority control, capacity control.
Module-5
Single machine scheduling: Concept, measures of performance, SPT rule, Weighted mean flow time, EDD rule,
minimizing the number of tardy jobs.
Flow- shop scheduling: Introduction, Johnson’s rule for ‘n’ jobs on 2 and 3 machines, CDS heuristic.
Job –shop scheduling: Types of schedules, and scheduling 2 jobs on ‘m’ machines and problems by graphical
method.
Course Outcomes:
• Apply the concepts of operations management by knowing the Historical development, Physical and
information flows in a production system, and contribution of James Watt, Charles Babbage, Robert Owen,
Thomas Alva Edition, Frederick Winslow Taylor, Henry Ford in development of production systems.
• Solve problems using appropriate techniques of forecast.
• Apply models used in decision making, Recognize and apply basic appropriate analytical techniques related
to, aggregate planning / master scheduling.
• Explain the effects of the evolution of MRP, Evaluate single machine scheduling and Flow shop scheduling.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
TEXT BOOKS
54
1. Operations Management- Monks. J.G.- McGraw-Hill International Editions-1987.
2. Production and Operation Management- Paneerselvam. R-PHI- 2nd
edition.
REFERENCE BOOKS:
1. Modern Production/ Operation Management- Buffa- Wiely India Ltd. – 4th edition.
2. Production and Operations Management- Chary. S. N – Tata McGraw Hill.- 3rd
edition
3. Production and Operation Management- Adam and Ebert, PHI, 5th edition Financial Accounting and
Costing.
55
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
DATA ANALYTICS FOR ENGINEERS
Course Code 18IM63 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objectives:
Understand data input and accessing data using R
Representation of data in graphical form
Analyzing data using probability and statistics
Inference of data using correlation and regression analysis.
Module-1
Introduction to R: Introduction R as a statistical software and language, R as a calculator, R preliminaries,
Methods of data input, Data accessing or indexing, Some useful built-in functions, Graphics with R, Getting help,
saving, storing and retrieving work, Exercises and solutions to exercises.
Module-2
Descriptive Statistics: Introduction, Diagrammatic representation of data, Graphical representation of data,
Measures of central tendency, dispersion, skewness and kurtosis, Selection of representative samples, Exercises and
solutions to exercises.
Module-3
Probability and probability distributions: Introduction, Probability: Definitions and properties, probability
distributions, some special discrete distributions, continuous distributions, Exercises and solutions to exercises.
Module-4
Statistical Inference: Introduction, Sampling distribution of sample mean, Estimation of parameters, Plots to check
normality, Hypothesis testing, Goodness of fit tests, Exercises and solutions to exercises.
Module-5
Correlation and Regression analysis: Introduction, Correlation, Inference procedures for correlation coefficient,
Linear regression, Inference procedure for simple linear model, validation of linear regression model,
Transformation of the variables, Polynomial regression models, Exercises and solutions to exercises.
Course Outcomes: At the end of the course, the student will be able to:
CO1: Make use of various data analysis techniques and derive conclusions.
CO2: Make use of descriptive and inferential statistical techniques for data analysis.
CO3: Perform exploratory data analysis on a given set of data including visualization techniques.
CO4: Build regression models and use them for prediction.
CO5: Build time series models and use them for prediction.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Statistics using R, Sudha G. Purohit, Sharad D. Gore and Shailaja R. Deshmukh, Narosa Publications, second
edition -2015.
Reference Books: 1. “R for Data Science”, Dan Toomey, PACKT Publishing, 2014.
2. “Practical Data Science wit R”, Nina Zumel, John Mount, Manning Publications, 2014.
3. “Building a recommendation System with R”, Suresh R Gorakala, Michelle Usuelli, PACKT Publishing,
2015.
4. “Learning Predictive Analytics with R”, Eric Mayor, PACKT Publishing, 2015.
5. “Data Analytics with Open Source Tools”, Philip K Janert, O’Reilly, 2010.
6. “Data Mining: Concepts and Techniques”, Jiawei Han, Micheline Kamber, Jian Pei, The Morgan Kaufmann
Series in Data Management Systems, 3rd Edition, 2011.
56
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
FINANCIAL ACCOUNTING AND COSTING
Course Code 18IM641 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 04 Exam Hours 03
Course Learning Objectives: understand the basic concepts and processes used to determine product costs
• To be able to interpret cost accounting statements
• To be able to analyze and evaluate information for cost ascertainment, planning, control and decision
making.
• To be able to solve simple cases.
Module-1
FINANCIAL ACCOUNTING: Introduction to Book keeping: double-entry accounting, journal & ledger posting.
FINANCIAL STATEMENTS & ANALYSIS: Trial balance, preparation of Trading and Profit & Loss account,
and Balance sheet.
Module-2
RATIO ANALYSIS: Balance sheet ratio’s, profit – loss account ratio’s, and combined ratio’s.
Module-3
COSTING: Objectives of costing, Elements of costing, methods of costing preparation of cost sheet (job costing)
Process costing, Marginal costing and absorption costing.
Module-4
STANDARD COSTING: Material, labour, overhead cost variance.
ACTIVITY BASED COSTING: Target Costing, Activity Based Costing and management
WORKING CAPITAL MANAGEMENT: Factors influencing working capital requirement, determination of
operating cycle and working capital
Module-5
Budgeting: Sales budget, production budget, raw materials purchasing budget, selling and administrative expense
budget, cash budget, Flexible Budget & Master budget.
Course Outcomes:
• Demonstrate knowledge of basic accounting techniques and preparation of journal, ledger and final
statements of accountancy. Judge the financial strength of the firm through ratio analysis and understands
the principle of costing.
• Practice and enhanced the knowledge on costing through techniques like process costing, marginal costing
and standard costing.
• Calculate working capital requirement and learn to prepare budget for effective financial control of an
organization.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books: 1 Cost Accounting-Khan M Y and Jain P K, Tata Mc Graw hill
2 Financial Managemen- Prassana Chandra, Tata Mc Graw Hill
3 Management Accounting & costing Prasad N K
4 Financial Management & costing- James C Vanhorne, Pearson Education
Reference Books: 1 Elements of Accountancy B S Raman
2 Practical Costing- Ahuja, Pandey, Khanna and Arora, S Chand & Co
57
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
HUMAN RESOURCE MANAGEMENT
Course Code 18IM642 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Credits – 03
Course Learning Objectives:
1. To understand the HRM concepts and theory.
2. To obtain an overview of various HRM functions and practices.
3. To gain an insight into the various statutory provisions.
Module-1
INTRODUCTION: Evolution of HRM, Objectives, Functions and Policies.
HUMAN RESOURCE PLANNING: Uses and benefits, Man Power Inventory, Man Power Forecasting, Methods of
Man Power Forecasting, job Description, Job Specification.
Module-2
RECRUITMENT: Sources of Man power, Advertisement, Short Listing of Candidates calling Candidates for
selection Process.
SELECTION: Selection procedure – Written Test, Group Discussion. Interview – Different methods, advantages and
limitations, Psychological testing – Advantages and limitations, Induction procedure, transfers, promotion, exit
interview, (Tutorial on written test, Group Discussion, Interviews)
Module-3
TRAINING AND DEVELOPMENT: Identification of Training needs, Training Evaluation, Training Budget,
Executive Development – Different Approaches, Non-executive development – Different methods.
PERFORMANCE APPRAISAL: Components (all round performance appraisal), Methods. Advantages and
limitations of different methods, Personal Counselling based on Annual Confidential Reports
Module-4
COUNSELLING AND HUMAN RESOURCE ACCOUNTING: Characteristics, Need, Function, Types,
Suggestions for personnel development, communication function, communication process, effective communication.
Human resource records, Advantages of HR accounting, Various methods of accounting.
Module-5
INDUSTRIAL RELATIONS: Indian trade union act, standing orders act, Indian factories act.
INDUSTRIAL DISPUTES AND SETTLEMENT: Indian Industrial Disputes act, Industrial disputes settlement
machinery. Works committee, Board of Conciliation, Voluntary Arbitration, Compulsory arbitration, Court of
inquiry, Industrial tribunal, Adjudication.
Course Outcomes: 1. Synthesize information regarding the effectiveness of recruiting methods & selection procedures
2. Identify the various training methods and design a training program
3. Design a job description and job specification for various levels of employees.
4. List out the regulations governing employee benefit practices.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
TEXT BOOKS:
1. Human Resources Management – Dr. K Ashwathappa – Tata McGraw Hill - Edition 1999.
2. Management of Human Resources – CB Mamoria – Himalaya Publication House – 2003.
Reference Books: 1. Personnel / Human resource Management – Decenoz and robbins- PHI - 2002
2. Industrial Relations – ArunMonappa – TMH - ISBN – 0-07-451710-8.
3. Human Resources Management – VSP Rao
4. Human Resources Management – Ravi Dharma Rao
58
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
MANAGEMENT INFORMATION SYSTEMS
Course Code 18IM643 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Introduce various aspects of MIS as applied to engineering problems in a systematic manner.
2. Impart the knowledge of fundamentals of data base, business applications.
Module-1
Fundamentals of Information Systems: Information systems in business, fundamentals of information systems
solving business problems with information systems.
Module-2
Information Systems for Business Operations: Business information systems, Transaction processing systems,
management, information systems and decision support systems. Artificial intelligence technologies in business,
information system for strategic applications and issues in information technology.
Module-3
Issues in Managing Information Technology: Managing information resources and technologies global information
technology, management, planning and implementing change, integrating business change with IT, security and
ethical challenges in managing IT, social challenges of information technology
Module-4
E-Business Model: E-commerce frame work, Architectural frame work for e-commerce, Application services and
transaction, Models – B2C Transactions, B2B Transactions, Intra-Organizational Transactions, WWW Architecture:
Client server structure of the web, e-Commerce architecture, Technology behind the web.
Module-5
Consumer Oriented E-Commerce: Consumer oriented Application: Finance and Home Banking, Home shopping,
Home Entertainment, Mercantile Process Models, Consumers perspective, Merchants perspective. Electronics Data
Interchange (EDI): EDI Concepts, Applications in business – components of international trade, Customs Financial
EDI, Electronic fund transfer, Manufacturing using EDI, Digital Signatures and EDI.
Course Outcomes: 1. To understand fundamentals of MIS and be able to compare it with other approaches.
2. Identify and utilize fundamentals of data base management as applied to the respective tasks.
3. Demonstrate the ability to define and formulate the properties and characteristics of data base management by any
engineer.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books: Management Information systems – managing information technology in the internet worked enterprise – jams. A
O’Brien – Tata McGraw Hill publishing company limited – 2002. 2. Management Information Systems – Laaudon &
Laudon – PHI – ISBN 81-203-1282-1.1998.
Reference Books:
Management Information systems – S. Sadogopan. – PHI – 1998Edn. ISBN 81-203-1180-9. 2. Information systems
for modern management – G.R. Murdick – PHI – 2nd Edition.
59
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
DATA BASE MANAGEMENT SYSTEM
Course Code 18IM644 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Credits – 03
Course Learning Objectives:
The objective of the course is to present an introduction to database management systems, with an emphasis on
how to organize, maintain and retrieve - efficiently, and effectively - information from a DBMS.
Module-1
DATABASES AND DATABASE USERS: Introduction, characteristics of data base approach, intended uses of
a DBMS, advantages and implication of database approach.
DATABASE SYSTEMS CONCEPTS AND ARCHITECTURE: Data models, Schemas and instances,
DBMS architecture and data independence, database languages and interfaces, database system environment,
classification of data base management systems.
Module-2
DATA MODELING: High level conceptual data models for database design. Entity types, entity sets,
attributes, and keys. Relationships, relationship types, roles and structural constraints. Weak entity types. ER
diagrams
RECORD STORAGE AND PRIMARY FILE ORGANIZATION: Secondary storage devices, buffering of
blocks, placing file records on disk, operations on files, heap files and sorted files, hashing techniques.
Module-3
INDEX STRUCTURE OF FILES: Single-level and multilevel ordered indexes, dynamic multi level indices
using B-trees and B+ trees.
RELATIONAL DATA MODEL AND RELATIONAL ALGEBRA: Brief discussion on Codd rules,
relational model concepts, constraints and schemas. Update operation on relations, basic and additional relational
algebra operations and queries in relational algebra.
Module-4
Structured Query Language (SQL): Data definition in SQL2. Basic and complex queries in SQL. Insert,
delete, update statements, and views in SQL, embedded SQL.
DATABASE DESIGN: Design guidelines for relational schemes, functional Dependencies, normalization -1st,
2nd, 3rd, 4th, and 5th normal forms. Database design process, factors influencing physical database design
guidelines and guidelines for relational systems.
Module-5
SYSTEM IMPLEMENTATION: System cat log for RDBMS, transaction processing and system concepts,
properties of transactions, brief discussion on concurrency, control and recovery techniques, database security
and authorization.
Course Outcomes: Upon successful completion of this course, students should be able to:
• Describe the fundamental elements of relational database management systems
• Explain the basic concepts of relational data model, entity-relationship model, relational database design,
relational algebra and SQL.
• Design ER-models to represent simple database application scenarios
• Convert the ER-model to relational tables, populate relational database and formulate SQL queries on data.
• Improve the database design by normalization.
• Familiar with basic database storage structures and access techniques: file and page organizations, indexing
methods including B tree, and hashing.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Fundamentals of database systems -Ramez Elmasri and Shamkanth B. Navathe - Addison Wesley
Publishing Company - 6th Edition.
2. Database Management System - Raghu Ramakrishnan and Johannes Gehrke - TATA McGraw Hill -
60
3rd Edition - ISBN 0-07-1231511
Reference Books:
1. Database Management Design - Gary W. Hansen and James V. Hanesn - PHI Pvt. Ltd. - 2nd
Edition.
61
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
Course Code 18IM651 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Credits – 03
Course Learning Objectives:
1. Will be able to understand about value
2. Can adopt functional approach in identifying unnecessary cost in a product
3. Can apply the value methodology
4. Can analysis value of the product and service and apply VA/VE technique to increase the value
Module-1
INTRODUCTION TO VALUE ANALYSIS: Definition of Value, Value Analysis, Value Engineering, Value
management, Value Analysis versus Value Engineering, Value Analysis versus Traditional cost reduction
techniques, uses, Applications, advantages and limitations of Value analysis. Symptoms to apply value analysis,
Coaching of Champion concept.
TYPE OF VALUES: Reasons for unnecessary cost of product, Peeling cost Onion concept, unsuspected areas
responsible for higher cost, Value Analysis Zone, attractive features of value analysis. Meaning of Value, types of
value & their effect in cost reduction. Value analysis procedure by simulation.
Detailed case studies of simple products
Module-2
FUNCTIONAL COST AND ITS EVALUATION: Meaning of Function and Functional cost, Rules for
functional definition, Types of functions, primary and secondary functions using verb and Noun, Function
evaluation process, Methods of function evaluation. Evaluation of function by comparison, Evaluation of
Interacting functions, Evaluation of function from available data, matrix technique, MISS technique, Numerical
evaluation of functional relationships and case studies.
PROBLEM SETTING & SOLVING SYSTEM: A problem solvable stated is half solved, Steps in problem
setting system, Identification, Separation and Grouping of functions. Case studies.
PROBLEM SETTING & SOLVING SYSTEM: Goods system contains everything the task requires. Various steps
in problem solving, case studies.
Module-3
VALUE ENGINEERING JOB PLAN: Meaning and Importance of Value Engineering Job plan. Phases of job
plan proposed by different value engineering experts, Information phase, Analysis phase, Creative phase,
Judgment phase, Development planning phase, and case studies. Cost reduction programs, criteria for cost
reduction program, Value analysis change proposal.
Module-4
VALUE ENGINEERING TECHNIQUES: Result Accelerators or New Value Engineering Techniques, Listing,
Role of techniques in Value Engineering, Details with Case examples for each of the Techniques.
ADVANCED VALUE ANALYSIS TECHNIQUES: Functional analysis system technique and case studies,
Value analysis of Management practice(VAMP), steps involved in VAMP, application of VAMP to Government,
University, College, Hospitals, School Problems etc., (service type problems).
TOTAL VALUE ENGINEERING: Concepts, need, Methodology and benefits.
Module-5
APPLICATION OF VALUE ANALYSIS: Application of Value analysis in the field of Accounting, Appearance
Design, Cost reduction, Engineering, manufacturing, Management, Purchasing, Quality Control, Sales, marketing,
Material Management Etc., Comparison of approach of Value analysis & other management techniques.
Course Outcomes: After the completion of the course, a student will
1. Able to understand the importance of value of a product
2. Find out unnecessary cost/ function involved in the product
3. Conduct value engineering methodology
4. Do value analysis using advanced value engineering techniques
5. Become a certified value engineer with additional course /training
62
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Techniques of Value Analysis and Engineering– Lawrence D. Miles, McGraw – Hill Book Company, 2ndEdn.
2.Value engineering for Cost Reduction and Product Improvement – M.S. Vittal, Systems Consultancy Services
Edn 1993
3.Value Management, Value Engineering and Cost Reduction – Edward D Heller Addison Wesley Publishing
Company 1971
Reference Books:
1.Value Analysis for Better Management – Warren J Ridge American Management Association Edn 1969
2. Getting More at Less Cost (The Value Engineering Way) – G.Jagannathan Tata Mcgraw Hill Pub. Comp. Edn
1995
3.Value Engineering – Arther E Mudge McGraw Hill Book Comp. Edn 1981
63
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
DATA ANALYTICS FOR ENGINEERS
Course Code 18IM652 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
Understand data input and accessing data using R
Representation of data in graphical form
Analyzing data using probability and statistics
Inference of data using correlation and regression analysis.
Module-1
Introduction to R: Introduction R as a statistical software and language, R as a calculator, R preliminaries,
Methods of data input, Data accessing or indexing, Some useful built-in functions, Graphics with R, Getting
help, saving, storing and retrieving work, Exercises and solutions to exercises.
Module-2
Descriptive Statistics: Introduction, Diagrammatic representation of data, Graphical representation of data,
Measures of central tendency, dispersion, skewness and kurtosis, Selection of representative samples,
Exercises and solutions to exercises.
Module-3
Probability and probability distributions: Introduction, Probability: Definitions and properties, probability
distributions, some special discrete distributions, continuous distributions, Exercises and solutions to
exercises.
Module-4
Statistical Inference: Introduction, Sampling distribution of sample mean, Estimation of parameters, Plots to
check normality, Hypothesis testing, Goodness of fit tests, Exercises and solutions to exercises.
Module-5
Correlation and Regression analysis: Introduction, Correlation, Inference procedures for correlation
coefficient, Linear regression, Inference procedure for simple linear model, validation of linear regression
model, Transformation of the variables, Polynomial regression models, Exercises and solutions to exercises.
Course Outcomes: At the end of the course, the student will be able to:
CO1: Make use of various data analysis techniques and derive conclusions.
CO2: Make use of descriptive and inferential statistical techniques for data analysis.
CO3: Perform exploratory data analysis on a given set of data including visualization techniques.
CO4: Build regression models and use them for prediction.
CO5: Build time series models and use them for prediction.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1“Statistics using R”, Sudha G. Purohit, Sharad D. Gore and Shailaja R. Deshmukh, Narosa
Publications, second edition -2015.
Reference Books:
1. “R for Data Science”, Dan Toomey, PACKT Publishing, 2014.
2. “Practical Data Science wit R”, Nina Zumel, John Mount, Manning Publications, 2014.
3. “Building a recommendation System with R”, Suresh R Gorakala, Michelle Usuelli, PACKT
Publishing, 2015.
4. “Learning Predictive Analytics with R”, Eric Mayor, PACKT Publishing, 2015.
5. “Data Analytics with Open Source Tools”, Philip K Janert, O’Reilly, 2010.
6. “Data Mining: Concepts and Techniques”, Jiawei Han, Micheline Kamber, Jian Pei, The Morgan
Kaufmann Series in Data Management Systems, 3rd
Edition, 2011.
64
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
ENGINEERING ECONOMY
Course Code 18IM653 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• Define the fundamentals of engineering economics.
• Explain the concepts of decision making, problem solving, and comparison of the alternatives
• Demonstrate the understanding of concept depreciation and replacement analysis.
• Illustrate concept of money and its importance in evaluating the engineering projects.
• Evaluate the alternatives based on the present annual worth and equivalent annual worth methods.
Module-1
Introduction: Engineering decision – makers, engineering and economics, problem solving, intuition and analysis,
tactics and strategy with an example.
Interest and Interest Factors: Interest rate, simple interest compound interest, interest formulae, time value
equivalence exercises, problems and discussion.
Module-2
Present Worth Comparison: Conditions for present worth comparisons, rule 72, basic present worth
comparisons, present worth equivalence, net present worth, assets with equal and unequal lives, comparison of
assets assume to have infinite lives, exercises and problems.
Module-3
Equivalent Annual Worth Comparisons: Situations for equivalent annual worth comparison, net annual worth
of a single project, comparison of net annual worth’s definitions of asset life, comparison of assets with equal and
unequal lives, exercises and problems.
Module-4
Depreciation: Introduction, methods of depreciation, problems.
Replacement Analysis: Reasons- Deterioration, obsolescence, inadequacy, replacement criteria problems.
Module-5
Estimating and Costing: components of costs such as direct material cost, direct labor cost, Fixed, over – heads,
factory costs, administrative – overheads, first cost, selling price, calculation of the total cost of various
components, mensuration, estimation of simple components
Course Outcomes: At the end of the course the student will be able to:
6. Demonstrate the importance of Engineering Economy in engineering decision making.
7. Compare the various alternatives based on economy fundamentals.
8. Compare of asset life using net annual worth - assets with equal and unequal lives.
9. Apply concepts of depreciation and find the value of assets. Demonstrate skills in replacement
decisions.
10. Estimate the cost of engineering operations and processes by determining the elements of cost.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl No Title of the Book Name of the
Author/s Name of the Publisher Edition and Year
Textbook/s
1 Engineering Economy Riggs J.L McGraw Hill, 2002
2 Engineering Economy NVR. Naidu,
KM Babu and
New Age InternationalPvt.
Ltd
2006.
Reference Books
65
3 Engineering Economy Theusen.G PHI, 2002
4 Financial Management I M Pandey Vikas Publishing House 2002.
5 Engineering Economy Paul Degarmo Macmillan Pub, Co. 2001
66
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
DATA ANALYTICS LAB
Course Code 18IML66 CIE Marks 40
Number of Tutorial/Practical/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
• To understand and summarize the data-sets numerically and graphically.
• To select appropriate probability distribution for a given situation and test its goodness of fit.
• To make estimates and inferences using the software and take decisions in the presence of uncertainty.
• To identify the magnitude and direction of relationship between the independent and dependent variables.
Experiments: 1. Exercises on reading data from files and working with datasets
2. Exercises on basic built-in functions, plots, storing and retrieving data (At least one problem on each of
the functions).
3. Exercises on diagrammatic and graphical representation of data.
4. Exercises on measures of central tendency and dispersion.
5. Exercises on skewness and kurtosis
6. Exercises on continuous probability distribution.
7. Exercises on discrete probability distribution.
8. Exercises on hypothesis testing one single population mean.
9. Exercises on normality test.
10. Exercises on goodness of fit (Normal, Binominal, Poisson distribution, uniform distribution).
11. Exercises on correlations and regression analysis.
12. Writing simple programs in R
Suggested software packages: R studio
Course Outcomes: CO1: Examine and present the real-time data in appropriate form.
CO2: Choose suitable probability distribution for a given situation and test its goodness of fit.
CO3: Formulate the hypothesis by arriving at estimates and inferences to make decisions in uncertainty.
CO4: Perform correlation and regression analysis and draw inferences.
Any 2 questions from the exercise given above: 40 marks for each question
Viva –Voice : 20 Marks
Total : 100 Marks
TEXT BOOKS: 1. Douglas C. Montgomery, George C. Runger, Norma F. Hubele, “Engineering Statistics”, John Wiley
and Sons, 5th Edn, ISBN-13: 978-0470631478 ISBN-10: 0470631473 year: 2010.
2. “Statistics using R”, Sudha G. Purohit, Sharad D. Gore and Shailaja R. Deshmukh, Narosa
Publications, second edition -2015.
3. “R for Data Science”, Dan Toomey, PACKT Publishing, 2014.
4. “Practical Data Science wit R”, Nina Zumel, John Mount, Manning Publications, 2014.
5. “Building a recommendation System with R”, Suresh R Gorakala, Michelle Usuelli, PACKT
Publishing, 2015.
67
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
QUALITY ENGINEERING LAB
Course Code 18IML67 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
• Measure need to improve the quality of a process.
• Quantitative technique used for identifying and reducing the deviation of a product quality.
• Reliability of machine and effect of failure.
PART – A To test the Goodness of fit for the given quality characteristic using: Uniform distribution, Binomial
distribution, Poisson distribution & Normal distribution.
Conduction of Repeatability and Reproducibility studies for appraiser and instrument using R&R Software
Assessing Process Capability of the given manufacturing process using Normal Probability paper method and
process capability indices
Assessing Process Capability of the given manufacturing process using Digital Motorized Multifunctional
Height Gauge and SQC Display unit
PART – B
1. Experiments on Application of 7 QC Tools as applied to Manufacturing and Service Operations.
2. Construction of control chart for variable quality characteristic using
3. Digital Motorized Multifunctional Height Gauge
4. SQC Display unit
5. SQC/SPC software
6. Construction of control chart for attribute quality characteristic
7. Construction of control charts using SYSTAT Software
8. Attribute sampling Plans – Single, Double and Multiple sampling plans.
9. Experiments on correlation and Simple linear regressions
10. Experiments on multiple linear regressions
11. Conduction of Design of Experiments – Full Factorial approach for the given quality characteristic for
machining operations.
12. Exercises to demonstrate Taguchi’s Orthogonal Array technique through DOE software.
13. Exercises on FMEA and Reliability
14. Exercises on QFD
Course Outcomes: At the end of this course, the students will be able to;
• Explain the procedure for conducting the Chi-square test for discrete distribution and continuous
distribution data.
• Predict the process stability and capability using attribute and variable control charts for the data
obtained from manufacturing process.
• Apply the DOE, Reliability, Repeatability and Reproducibility test for the given process.
From part A one question: 30 Marks
From part B one question: 50 Marks
Viva –Voice : 20 Marks
Total : 100 Marks
REFERENCE BOOKS: 1. ILO, Introduction to work study - III Revised Edition, 1981
2. Motion and Time study - Ralph M Barnes; John Wiley, 8th Edition, 1985.
3. Engineered work Measurement - Wledon, ELBS , 1991
4. Motion and Time study - Marvin E. Mundel-, PHI, 1st edition
68
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
MINI PROJECT
Course Code 18IMMP68 CIE Marks 40
Teaching Hours/Week (L:T:P) (0:0:2) SEE Marks 60
Credits 02 Exam Hours/Batch 03
Course Learning Objectives:
• To support independent learning and innovative attitude
• To guide to select and utilize adequate information from varied resources upholding ethics.
• To guide to organize the work in the appropriate manner and present information (acknowledging the
sources) clearly.
• To develop interactive, communication, organisation, time management, and presentation skills.
• To impart flexibility and adaptability.
• To inspire independent and team working.
• To expand intellectual capacity, credibility, judgement, intuition.
• To adhere to punctuality, setting and meeting deadlines.
• To instil responsibilities to oneself and others.
• To train students to present the topic of project work in a seminar without any fear, face audience
confidently, enhance communication skill, involve in group discussion to present and exchange ideas. �
Mini-Project: Each student of the project batch shall involve in carrying out the project work jointly in constant
consultation with internal guide, co-guide, and external guide and prepare the project report as per the norms
avoiding plagiarism.
Course Outcomes: At the end of the course the student will be able to:
• Present the mini-project and be able to defend it.
• Make links across different areas of knowledge and to generate, develop and evaluate ideas and information
so as to apply these skills to the project task.
• Habituated to critical thinking and use problem solving skills.
• Communicate effectively and to present ideas clearly and coherently in both the written and oral forms.
• Work in a team to achieve common goal.
• Learn on their own, reflect on their learning and take appropriate actions to improve it. �
CIE procedure for Mini - Project: The CIE marks awarded for Mini - Project, shall be based on the evaluation of Mini - Project Report, Project
Presentation skill and Question and Answer session in the ratio 50:25:25.The marks awarded for Mini - Project
report shall be the same for all the batch mates. �
Semester End Examination SEE marks for the mini-project shall be awarded based on the evaluation of Mini-Project Report, Presentation skill
and Question and Answer session in the ratio 50:25:25 by the examiners appointed by the University. �
69
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VI
INTERNSHIP:
All the students admitted to III year of BE/B.Tech shall have to undergo mandatory internship of 4 weeks during the
vacation of VIand VII semesters and /or VII and VIII semesters. A University examination shall be conducted
during VIII semester and the prescribed credit shall be included in VIII semester. Internship shall be considered as a
head of passing and shall be considered for the award of degree. Those, who do not take-up/complete the internship
shall be declared as fail and shall have to complete during subsequent University examinations after satisfying the
internship requirements.
Course Code Refer to VIII semester scheme CIE Marks 40
Duration of internship 04 weeks SEE Marks 60
Credit 02 Exam Hours/ Batch 03
Course Learning Objectives: Internship/Professional practice provide students the opportunity of hands-on experience that include personal
training, time and stress management, interactive skills, presentations, budgeting, marketing, liability and risk
management, paperwork, equipment ordering, maintenance, responding to emergencies etc. The objective are
further,
• To put theory into practice.
• To expand thinking and broaden the knowledge and skills acquired through course work in the field.
• To relate to, interact with, and learn from current professionals in the field.
• To gain a greater understanding of the duties and responsibilities of a professional.
• To understand and adhere to professional standards in the field.
• To gain insight to professional communication including meetings, memos, reading, writing, public
speaking, research, client interaction, input of ideas, and confidentiality.
• To identify personal strengths and weaknesses.
• To develop the initiative and motivation to be a self-starter and work independently.�
Internship: Students under the guidance of internal guide/s and external guide shall take part in all the activities
regularly to acquire as much knowledge as possible without causing any inconvenience at the place of internship.
Seminar: Each student, is required to
• Present the seminar on the internship orally and/or through power point slides.
• Answer the queries and involve in debate/discussion.
• Submit the report duly certified by the external guide.
The participants shall take part in discussion to foster friendly and stimulating environment in which the students are
motivated to reach high standards and become self-confident. �
Course Outcomes: At the end of the course the student will be able to:
• Gain practical experience within industry in which the internship is done.
• Acquire knowledge of the industry in which the internship is done.
• Apply knowledge and skills learnt to classroom work.
• Develop a greater understanding about career options while more clearly defining personal career goals.
• Experience the activities and functions of professionals.
• Develop and refine oral and written communication skills.
• Identify areas for future knowledge and skill development.
• Expand intellectual capacity, credibility, judgment, intuition.
• Acquire the knowledge of administration, marketing, finance and economics. �
•
70
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
ENTERPRISE RESOURCE PLANNING
Course Code 18IM71 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Apply the principles of ERP systems, their major components, and the relationships among components.
2. With the knowledge of typical ERP systems, and the advantages and limitations of implementing ERP
systems.
3. To comprehend the technical aspects of ERP systems.
4. To be able to map business processes using ERP concepts and techniques.
Module-1
INTRODUCTION TO ERP: Introduction, Evolution of ERP, What is ERP, Reasons for the growth of the ERP
market, The advantages of ERP, Why do Man ERP Implementations Fail? Why are ERP packages being used
now?
ENTERPRISE – AN OVERVIEW: Introduction, Integrated Management Information, Business modelling,
Integrated Data Model.
Module-2
ERP AND RELATED TECHNOLOGIES: Introduction, Business Process Reengineering, Management
Information System, Decision Support System, Executive Information Systems, Data Warehousing, Data Mining,
On-line Analytical Processing, Supply Chain Management.
ERP- MANUFACTURING PERSPECTIVE: Introduction, ERP. CAD/CAM, Materials Requirements
Planning, Bill of Material, Closed Loop MRP. Manufacturing Resource Planning, Distribution Requirements
Planning.
Module-3
KANBAN: JIT and Kanban, Product Data Management, Benefits of PDM, Make-to-order, and Make-to Stock,
Assemble to order, Engineer to order, Configure-to order.
ERP MODULES: Introduction, Finance, Plant Maintenance, Quality Management, Materials Management.
Module-4
BENEFITS OF ERP: Introduction, Reduction of Lead time, On-time shipment, Reduction in Cycle Time,
Improved Resource Utilization, Better Customer Satisfaction, Improved Suppler Performance, Increased
Flexibility, Reduced Quality Costs, Improved Information Accuracy and Decision – making capability.
ERP PACKAGES: Overview of ERP Software Introduction, SAP AG, Baan Company, Oracle Corporation,
PeopleSoft, JD Edwards World Solutions Company, System Software Associates, Inc. QAD
Module-5
ERP Implementation Life Cycle: Pre-Evaluations Screening, Package Evaluation, Project Planning Phase, Gap
Analysis, Reengineering, Configuration, Implementation of Team Training, Testing, Going Live, end user
Training, Post Implementation
VENDOR, CONSULTANTS AND USERS: Introduction, In-house implementation – Pros and Cons, Vendors,
Consultants, End-users.
ERP- Case studies
Course Outcomes: 1. Make use of Enterprise software, and its role in integrating business functions
2. Analyze the strategic options for ERP identification and adoption. L-3
3. Design the ERP implementation strategies.
4. Create reengineered business processes for successful ERP implementation.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Enterprise Resource Planning - Alexis Leon - Tata McGraw Hill Publishing Company Ltd -1999.
71
2. Enterprise Resource Planning Concept and Practice -Vinod Kumar Garg and Venkitakrishnan-
Prentice Hall, India - 2nd Edition.
Reference Books:
1. Manufacturing Planning & Controls -Thomas Volloman, et,al.
72
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
VALUE ENGEERING
Course Code 18IM72 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Will be able to understand about value
2. Can adopt functional approach in identifying unnecessary cost in a product
3. Can apply the value methodology
4. Can analysis value of the product and service and apply VA/VE technique to increase the value
Module-1
INTRODUCTION TO VALUE ANALYSIS: Definition of Value, Value Analysis, Value Engineering, Value
management, Value Analysis versus Value Engineering, Value Analysis versus Traditional cost reduction
techniques, uses, Applications, advantages and limitations of Value analysis. Symptoms to apply value
analysis, Coaching of Champion concept.
TYPE OF VALUES: Reasons for unnecessary cost of product, Peeling cost Onion concept, unsuspected areas
responsible for higher cost, Value Analysis Zone, attractive features of value analysis. Meaning of Value,
types of value & their effect in cost reduction. Value analysis procedure by simulation.
Detailed case studies of simple products
Module-2
FUNCTIONAL COST AND ITS EVALUATION: Meaning of Function and Functional cost, Rules for
functional definition, Types of functions, primary and secondary functions using verb and Noun, Function
evaluation process, Methods of function evaluation. Evaluation of function by comparison, Evaluation of
Interacting functions, Evaluation of function from available data, matrix technique, MISS technique,
Numerical evaluation of functional relationships and case studies.
PROBLEM SETTING & SOLVING SYSTEM: A problem solvable stated is half solved, Steps in problem
setting system, Identification, Separation and Grouping of functions. Case studies.
PROBLEM SETTING & SOLVING SYSTEM: Goods system contains everything the task requires. Various
steps in problem solving, case studies.
Module-3
VALUE ENGINEERING JOB PLAN: Meaning and Importance of Value Engineering Job plan. Phases of job
plan proposed by different value engineering experts, Information phase, Analysis phase, Creative phase,
Judgment phase, Development planning phase, and case studies. Cost reduction programs, criteria for cost
reduction program, Value analysis change proposal.
Module-4
VALUE ENGINEERING TECHNIQUES: Result Accelerators or New Value Engineering Techniques,
Listing, Role of techniques in Value Engineering, Details with Case examples for each of the Techniques.
ADVANCED VALUE ANALYSIS TECHNIQUES: Functional analysis system technique and case studies,
Value analysis of Management practice(VAMP), steps involved in VAMP, application of VAMP to
Government, University, College, Hospitals, School Problems etc., (service type problems).
TOTAL VALUE ENGINEERING: Concepts, need, Methodology and benefits.
Module-5
APPLICATION OF VALUE ANALYSIS: Application of Value analysis in the field of Accounting,
Appearance Design, Cost reduction, Engineering, manufacturing, Management, Purchasing, Quality Control,
Sales, marketing, Material Management Etc., Comparison of approach of Value analysis & other management
techniques.
Course Outcomes: After the completion of the course, a student will
• Able to understand the importance of value of a product
• Find out unnecessary cost/ function involved in the product
• Conduct value engineering methodology
• Do value analysis using advanced value engineering techniques
• Become a certified value engineer with additional course /training
73
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module. • The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1.Techniques of Value Analysis and Engineering– Lawrence D. Miles, McGraw – Hill Book Company,
2ndEdn.
2.Value engineering for Cost Reduction and Product Improvement – M.S. Vittal, Systems Consultancy
Services Edn 1993
3.Value Management, Value Engineering and Cost Reduction – Edward D Heller Addison Wesley Publishing
Company 1971.
Reference Books:
1. Value Analysis for Better Management – Warren J Ridge American Management Association Edn 1969.
2. Getting More at Less Cost (The Value Engineering Way) – G.Jagannathan Tata Mcgraw Hill Pub. Comp.
Edn 1995.
3. Value Engineering – Arther E Mudge McGraw Hill Book Comp. Edn 1981.
74
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
PROJECT MANAGEMENT
Course Code 18IM731 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• Describe major activities and deliverable at each project life cycle stage, strategic planning and portfolio
alignment processes.
• Understand the organizational capability in terms of structure, culture and stakeholders requirements.
• Learn project scheduling and identify the resource needs for a project
• Describe how to plan for rick management, stages of team development and strategies for managing.
• Create and present a project progress report and describe the importance of the project closing activities and
how to perform them.
Module-1
Introduction: Definition of project, History of Project Management, Understanding projects, Project roles.
Project Selection and Prioritization – Strategic planning process, portfolio alignment, securing and negotiating
projects.
Module-2
Organizational capability: Types of organizational structures, organizational culture and its impact on projects,
project life cycles, project executive roles, project management roles, project team roles.
Planning Projects: Defining the project scope, scope planning, collect requirements, Project scope checklist, Work
Breakdown Structure (WBS, establish change control.
Module-3
Scheduling projects: Introduction to project time management, purposes of a project schedules, Historical
development of project schedules, how project schedules are limited and created, define activities, sequence activities,
estimate activity duration, develop project schedules, uncertainty in project schedules, show the project schedule on a
gantt chart.
Resourcing Projects: Abilities needed when resourcing projects, estimate resource needs, creating staffing
management plan, project team composition issues, assign a resource to each activities, dealing with resource
overloads, compress the project schedule, alternative scheduling methods.
Module-4
Project Risk Planning: Risk Management Planning, risk identification, risk analysis, risk response planning
Leading and managing project teams: Acquiring the project team, developing the project team, managing and
leading the project team, managing stakeholders expectations, managing project conflicts.
Module-5
Determining project progress and results: project balanced scorecard approach, internal project issues, customer
issues, financial issues.
Finishing the project and realizing the benefits: Verify scope, close procurements, close project, post project
activities.
Course Outcomes:
• Apply to the given situation, the fundamental concepts and basic principles of project management, selection
and prioritization.
• Utilize appropriately the knowledge of organizational capability, project planning and scheduling for
successful execution of projects.
• Identify and assign resource for a project, compress the project schedule and plan risk management.
• Analyze project progress through managing project teams, results and realization of benefits in Project
Management.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
75
TEXT BOOKS :
1. Contemporary Project Management, Timothy J Kloppenborg, Cengage Learning, Second Edition 2012.
2. Project Management, A systems approach to planning scheduling and controlling by Harold kerzner, CBS
publication.
3. Project Management by S Choudhury, Mc Graw Hill Education (India) Pvt. Ltd. New Delhi, 2016
REFERENCE BOOKS : 1. Project Management, Pennington Lawrence, Mc Graw hill
2. Project Management, A Moder Joseph and Phillips New Yark Van Nostrand, Reinhold.
3. Project Management, Bhavesh M. Patal, Vikas publishing House..
76
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
MARKETING MANAGEMENT
Course Code 18IM732 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1 have acquired analytical skills in solving marketing related problems and challenges and be familiar with the
strategic marketing management process.
2 train participants to apply concepts and techniques in marketing so that they become acquainted with the duties
of a marketing manager.
Module-1
INTRODUCTION: Historical development of marketing management, Definition of Marketing, Core marketing
concepts, Marketing Management philosophies, Micro and Macro Environment, importance of marketing in the
India Socio – economics system.
CONSUMER MARKETS AND BUYING BEHAVIOR: Characteristics affecting consumer behaviour, Types
of buying decisions, Buying decision process, Classification of consumer products, Market segmentation.
Module-2
MARKETING INFORMATION SYSTEMS AND RESEARCH: Components of marketing information
system–benefits & uses marketing research system, marketing research procedure, measurement of market
demand.
MARKETING OF INDUSTRIAL GOODS: Nature and importance of the Industrial market, classification of
industrial products, participants in the industrial buying process, major factors influencing industrial buying
behaviour, characteristics of industrial market demand. Determinants of industrial market demand, Buying power
of Industrial users, buying motives of Industrials users, the industrial buying process, buying patterns of industrial
users
Module-3
PRODUCT PLANNING AND DEVELOPMENT: The concept of a product, features of a product,
classification of products, product policies – product planning and development, product line, product mix –
factors influencing change in product mix, product mix strategies, meaning of New– product; major stages in new
– product development product life cycle.
BRANDING, LABELLING AND PACKAGING: Branding, Reasons for branding, functions of branding,
features and types of brands, kinds of brand name.
LABELLING: Types, functions, advantages and disadvantages
PACKAGING: Meaning, growth of packaging, function of packaging, kinds of packaging.
Module-4
PRICING: Importance of Price, pricing objectives, factors affecting pricing decisions, procedure for price
determination, kinds of pricing, pricing strategies and decisions.
DISTRIBUTION: Marketing channels – functions, types of channels of distribution, number of channel levels.
Physical distribution – importance, total systems concept, strategy, use of physical distribution.
Module-5
PERSONAL SELLING: Objectives of personal selling, establishing the Sales force objectives, sales – force
strategy, sales force structure and size, salesmanship, qualities of good salesman, types of salesman, major steps in
effective selling.
Course Outcomes: On completion of this Course students will be able to:
• Identify and understand core concepts of marketing and the role of marketing in business and society.
• Apply the concepts of marketing management and information system to make a successful organization
• Analyze and Determine strategies for developing new products and services that are consistent with evolving
market needs.
• Develop and evaluate pricing strategies that take into account perceived value, competitive pressures and
corporate objectives.
• Identify the roles of sales promotion, public relations, personal selling and develop integrated marketing plan
to the promotional mix
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
77
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
TEXT BOOKS:
1. Principles of Marketing - Philip Kotler - Prentice Hall - 11thEdn.
2. Marketing Management - Philip Kotler , Prentice Hall - 12thEdn.
Reference Books:
1. Fundamentals of Marketing - Wiliam J Stanton - McGraw Hill – 1994.
2. Marketing Management Text & Cases - Rajagopal- Vikas Publishing House - ISBN 81-259-0773-4.
3. Marketing Management - Michael R Czinkota - Vikas Publishing House - 2nd Edition ISBN 981-240-366-3
78
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
STRATEGIC MANAGEMENT
Course Code 18IM733 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. To provide insights into the core concepts of strategic management.
2. To evaluate various business strategies in dynamic market environments.
3. To gain insights into various strategic management models
Module-1
STRATEGIC MANAGEMENT INTRODUCTION: Definition- Levels of strategy- Roles of Strategist- Strategic
Management Process benefits and limitations. Mission Objectives -Social responsibilities.
Module-2
STRATEGY FORMULATION: Strategic Thinking, SWOT analysis- Techniques for environmental analysis-
TOWS matrix, Balanced Score Card, Steps in strategy implementation -formulation of SBU strategy.
Leadership implementation communicating the strategy - Annual and Functional objectives- Development of
policies- Organisational Implementation- Evaluation and control. reward system.
Module-3
STRATEGY AND STRUCTURE: Strategy- Structure relationship. Organizational restructuring and
Transformation, Principles of Organization.
STRATEGY EVALUATION AND CONTROL: Strategic control- Premise and Implementation control strategic
Surveillance special alert control- Operational control- Steps in Operational Control, Types of Operational control.
Module-4
PORTFOLIO STRATEGY: Business portfolio analysis- BGC matrix, GE multi matrix, an evaluation of Portfolio
models - factors influencing portfolio strategy.
Module-5
COMPETITIVE ANALYSIS AND STRATEGIES: Structural analysis of industries threat of entry rivalry among
existing competitors, threat of substitutes; Bargaining power of suppliers; structural analysis and competitive
strategy -competitor analysis value chain.
Course Outcomes:
1. Formulate a strategic plan that operationalizes the goals and objectives of the firm.
2. Use management concepts to analyze complex business situations
3. Associate with various Strategic Management models for Business situations
4. Ability to evaluate and critique theories and models in corporate environment.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
1. Strategic Management - Francis Cherunilam - Himalya Publishers,
2. Business Policy and Strategic Management - AzharKazmi - Tata McGraw Hill -2ndEdn.
3. Strategic Management - Michael Porter - Prentice-Hall – 1984.
Reference Books:
1. Business Policy and Strategic Management - P SubbaRao - Himalya Publishers - 1st Edition.
2. Corporate Strategic Management -R.M.Srivastava, PragatiPrakashan ,Meerut - 1st Edition.
3. Strategic Management – Robert A Pitts and David Lei - Vikas Publishing House- 1st Edition.
4. Business Environment for Strategic Management - K.Aswantappa- Himalaya Publishers -1st Edition.
79
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
SOFTWARE ENGINEERING & MANAGEMENT
Course Code 18IM734 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Ability to apply software engineering principles and techniques.
2. To produce efficient, reliable, robust and cost-effective software solutions.
3. Ability to work as an effective member or leader of software engineering teams.
4. To manage time, processes and resources effectively by prioritizing competing demands to achieve personal
and team goals Identify and analyzes the common threats in each domain.
Module-1
THE PRODUCT AND THE PROCESS: The product - Characteristics, Components, and Applications. The
Process -Software process Models - Linear, sequential, Prototype, RAD, Process Technology, Software
Development Life cycle.
SOFTWARE PROJECT MANAGEMENT CONCEPTS: The Management Specification, People, Problem,
Process, project.
Module-2
SOFTWARE PROJECT PLANNING: Objectives, Scope, Resource, Project estimation, Decomposition
Techniques – software sizing, problem-based estimation, process-based estimation, Empirical Estimation
Models. Make-buy decision, Automated estimation tools.
Module-3
RISK MANAGEMENT: Reactive v/s Proactive Risk Strategies, Software Risks, Risk identification, Risk
projection, Monitoring.
SOFTWARE PROJECT SCHEDULING AND TRACKING: Basic concepts, defining a task set selection,
Defining Scheduling, Project Plan.
Module-4
SOFTWARE QUALITY ASSURANCE: Quality assurance concept, Cost impact of software defects,
Technical review, statistical Quality assurance, software reliability, ISO 9000 Quality standards
SOFTWARE TESTING: Objectives, Principles, Testability.
Module-5
SOFTWARE QUALITY AND RELIABILITY: Introduction, software modularity, language, Data reliability,
Fault tolerance, software checking and software testing. 4 Hours
OBJECT ORIENTED CONCEPT AND PRINCIPLES: Object Oriented Concepts, Identifying the elements
of an object model.
Course Outcomes: After the completion of the course, a student will
• Examine and understand the concepts of the software product, process and project management.
• Analyze software project planning as to how project is estimated and recognize when planner decides to
make or buy a software
• Interpret the ways of managing risk, scheduling and tracking a software project
• Explain the object-oriented concepts and analyze the elements of an object model with case studies.
Text Books:
1. Software Engineering – Pressman - Computer Science Series - TATA McGraw-Hill Publications - 6th
edition
Reference Books:
1 Software Engineering – Somerville - Pearson Education,
80
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
ORGANIZATIONAL BEHAVIOR
Course Code 18IM741 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. To make students understand fundamental concepts and principles of management, including the basic
roles, skills, and functions of management.
2. To make students knowledgeable of historical development, theoretical aspects and practice application of
managerial process.
3. To understand the basic concepts and theories underlying individual behaviour besides developing better
insights into one’s own self.
4. To make students aware of Individual behaviour in groups, dynamics of groups and team building besides
developing a better awareness of how they can be better facilitators for building effective teams as leaders
themselves.
Module-1
Introduction: Definition of Organization Behaviour and Historical development, Environmental context
(Information Technology and Globalization, Diversity and Ethics, Design and Cultural, Reward Systems).
Foundations of individual behavior: individual differences. Ability: Intellectual abilities, Physical ability, the role
of disabilities. Attitude: Meaning, Formation, components of attitudes, relation between attitude and behavior,
Aptitude, interests. Values.
Module-2
Personality: Meaning, formation, determinants, traits of personality, big five and MBTI, personality attributes
influencing OB. Personality Job Fit Theory.
Learning: Definition, Theories of Learning, Individual Decision Making, classical conditioning, operant
conditioning, social learning theory, continuous and intermittent reinforcement.
Module-3
Perception: Meaning, Process of perception, factors influencing perception, link between perception and individual
decision-making.
Module-4
Motivation: Maslow's Hierarchy of Needs theory, Mc-Gregor's theory X and Y, Hertzberg's motivation Hygiene
theory, David Mc-Clelland’s three needs theory, Victor Vroom's expectancy theory of motivation.
Leadership: Meaning, styles of leadership, leadership theories, trait theory, behavioural theories, managerial grid,
situational theories.
Module-5
Group Behavior: Definition and classification of groups, Factors affecting group formation, stages of group
development, Norms, Hawthorne studies, group processes, group tasks, group decision making.
Course Outcomes: At the end of the course the student will be able to:
1. Demonstrate their conceptual skills understanding and application of principles and functions of management
and to enable students basic understanding of dynamics of OB
2. Evaluate the global context for taking managerial actions of planning, Organizing and Controlling and
application of concepts of planning like MBO and Managerial decision making.
3. The Student will demonstrate ability to analyze predicting and to control behaviour of people at work for
organization effectiveness.
4. Students to develop leadership skills and ability to motivate and work in groups to achieve organizational goals.
5. Understand and demonstrate their exposure towards growing complexities and recent trends in management.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
81
Sl No Title of the Book Name of the
Author/s Name of the Publisher Edition and Year
Textbook/s
1 Organizational Behaviour
Stephen P
Robbins,
Timothy A.
Judge,
SeemaSanghi
-Pearson Education 14th Edition,
2012
2 Organization Behaviour
Ashwathappa, Himalaya Publication
House
Reference Books
3 Organizational Behavior Fred Luthans Tata Mc Graw HILL
4 Organizational Behavior.
PG Aquinas Excel Books
82
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
DESIGN OF EXPERIMENTS
Course Code 18IM742 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives: • An ability to design and conduct experiments, as well as to analyze and interpret data.
• An ability to design a system, component, or process to meet desired needs within realistic constraints such
as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
• An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
Module-1
Strategy of Experimentation, Typical applications of Experimental design, Basic Principles, Guidelines for
Designing Experiments. Concepts of random variable, probability, density function cumulative distribution
function. Sample and population, Measure of Central tendency; Mean median and mode, Measures of
Variability, Concept of confidence level. Statistical Distributions: Normal, Log Normal & Weibull
distributions. Hypothesis testing, Probability plots, choice of sample size. Illustration through Numerical
examples.
Module-2
Classical Experiments: Factorial Experiments: Terminology: factors, levels, interactions, treatment
combination, randomization, Two-level experimental designs for two factors and three factors. Three-level
experimental designs for two factors and three factors, Factor effects, Factor interactions, Fractional factorial
design, Saturated Designs, Central composite designs. Illustration through Numerical examples.
Module-3
Measures of variability, Ranking method, Column effect method & Plotting method, Analysis of variance
(ANOVA) in Factorial Experiments: YATE’s algorithm for ANOVA, Regression analysis, Mathematical
models from experimental data. Illustration through Numerical examples.
Module-4
Quality, Western and Taguchi’s quality philosophy, elements of cost, Noise factors causes of variation.
Quadratic loss function & variations of quadratic loss function. Robust Design: Steps in Robust Design:
Parameter design and Tolerance Design. Reliability Improvement through experiments, Illustration through
Numerical examples.
Module-5
Types of Orthogonal Arrays, selection of standard orthogonal arrays, Linear graphs and Interaction assignment,
Dummy level Technique, Compound factor method, Modification of linear graphs. Illustration through
Numerical examples.
Course Outcomes: After completing the module, students will be able to:
• apply the basics of statistical inference (estimation, testing, confidence regions) in the course setting
• perform a correct statistical analysis of different types of designs, including unbalanced data sets,
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books:
• Box GEP, Hunter JS, Hunter WG, 2005. Statistics for Experimenters. 2nd ed. Wiley.
• Design and Analysis of Experiments, 8ed, ISV (WSE) Paperback – 2013by Douglas C.
Montgomery
Reference Books:
• Dean A, Voss D, 1999. Design and Analysis of Experiments. Springer.
83
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
WORLD CLASS MANUFACTURING
Course Code 18IM743 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• Understand the different principles of world class manufacturing.
• Principles of WCM, value stream mapping.
• Benchmarking of process and training.
Module-1
INTRODUCTION TO WORLD CLASS MANUFACTURING
Manufacturing Excellence and Competitiveness, What is world-Class Manufacturing?-Halls framework of
world-Class Manufacturing (WCM), Gunn s Model of World-Class Manufacturing, Maskells Model of World-
Class Manufacturing.
WORLD CLASS MANUFACTURING The philosophy of world-class Manufacturing-The First Principles of World-Class Manufacturing, The
practices of World-Class Manufacturing-The customers Interface ,The Supplier Interface, World-Class
Practices in the factory.
Module-2
PRINCIPLES AND PRACTICIES OF WCM Data collection plan, research-internal public domain sources, outside experts etc , original research, site visits,
and code of conduct, Analyzing the gap: Top displaying data, deciding and combining best work practices,
Balance Score Card Technique, Value Stream Mapping, validation, recommendations etc
Module-3
BENCHMARKING Definition, mission and objectives, managing benchmarking process, training and code of conduct, future scope
and benchmarking process , What to benchmark: concept of step zero, priorities, business processes linking to
goals etc, investigation, documentation, performance measures, improving business processes , Whom to
benchmarks: Developing candidate list, systematic search, refining the initial list
Module-4
DEFINITION OF REENGINEERING Importance of 3Cs-customers takes charges, competition intensifies, and change becomes constant , Definition
of Business Process Reengineering fundamentals rethinking, radical redesign, and dramatic improvement
Rethinking business process, new world of and enabling role of information technology
QUALITY MANAGEMENT SYSTEMS
ISO 9000-2000, IS 14000, Frame Work for Business Excellence - Malcolm Baldridge Award, Deming’s
Award
Module-5
SIX SIGMA
The Basics, The core of Six Sigma(DMAIC), design for Six Sigma, DFSS and the customer, Quality time and
the Bottom line , core of DFSS-IDOV method , DFSS Metrics, DFSS Infrastructure People and resources,
Implementing DFSS
ACTIVITY BASED MANAGEMENT (ABM) Introduction, Traditional Cost Systems, Activity Based activity Based Costing, Activity Based Management,
ABM Implementation, Case Study.
Course Outcomes: After the completion of the course, a student will
1. Have a understanding of the need for learning the world class manufacturing setup.
2. Learn the principles and practices of world class manufacturing.
3. Determine the quality practices as applied to world class product and Standard practices of quality of
conformance systems.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
84
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books: 1. World Class Manufacturing- A Strategic Perspective – Sahay B S, Saxena K B C, Ashish Kumar –
MacMillan India Ltd – ISBN 0333-93-4741. (unit 1 & 2)
2. Finding and Implementing Best Practices- Business Process Benchmarking -Champ, Robert C. –
Vision Books, New Delhi – 2008.(unit 3 & 4)
3. Reengineering the corporation – A Manifesto for Business revolution – Hammer, Michael and James
Champy – Nicholas Brealey Publishing , London.- 1993(unit 5 & 6)
4. Six sigma for Managers- Greg Brue – TMH – ISBN- 0-07-048639- 5 -2002.(unit 7)
Reference Books: 1. Design for Six Sigma –Grege – TMH – ISBN 0-07-058120. – 2003.
2. Design for Six Sigmain Technology and Product Development – Creveling -Pearson Education – 2008.
3. Total Quality Management -Dale H. Besterfield, carol Besterfield- Minchna, glen H Besterfield and
Mary Besterfield scare – Pearson education – 3rd edition – ISBN 81-297-0260-6 (Part of Unit 6 )
4. Total Quality Management – Kesavan R – I K International Publishing house Pvt. Ltd –
85
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
MAINTENANCE AND SAFETY ENGINEERING
Course Code 18IM744 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Credits – 03
Course Learning Objectives: To provide the students with
• Understand the mechanics of safety
• Understand different types of maintenance and different type of models
• Quality , Reliability and Maintainability of safety and maintenance
Module-1
Introduction, Need for Maintenance, Facts and Figures, Modern Maintenance, Problem and
Maintenance Strategy for the 21st Century, Engineering Maintenance Objectives and Maintenance in
Equipment Life Cycle, Terms and Definitions. Maintenance Management and Control: Maintenance Manual,
Maintenance, Facility Evaluation, Functions of Effective Maintenance Management, Maintenance Project
Control Methods, Maintenance Management Control Indices.
Module-2
Types Of Maintenance: Preventive Maintenance, Elements of Preventive, Maintenance Program, Establishing
Preventive Maintenance Program PM Program Evaluation and Improvement, PM Measures, PM Models,
Corrective Maintenance, Corrective Maintenance Types, Corrective Maintenance Steps and Downtime
Components, Corrective Maintenance Measures, Corrective Maintenance Models. Inventory Control In
Maintenance: Inventory Control Objectives and Basic Inventory Decisions, ABC Inventory Control Method,
Inventory Control Models Two-Bin Inventory Control and Safety Stock, Spares Determination Factors Spares
Calculation Methods
Module-3
Quality And Safety In Maintenance: Needs for Quality Maintenance Processes, Maintenance Work Quality,
Use of Quality Control Charts in Maintenance Work Sampling, Post Maintenance Testing, Reasons for Safety
Problems in Maintenance, Guidelines to Improve Safety in Maintenance Work, Safety Officer’s Role in
Maintenance Work, Protection of Maintenance Workers. Maintenance Costing: Reasons for Maintenance
Costing, Maintenance Budget Preparation Methods and Steps, Maintenance Labor Cost Estimation, Material
Cost Estimation, Equipment Life Cycle Maintenance Cost Estimation, Maintenance Cost Estimation Models.
Module-4
Reliability, Reliability Centered Maintenance, Rcm: Goals And Principles, RCM Process
and Associated Questions, RCM Program Components Effectiveness Measurement Indicators, RCM Benefits
and Reasons for Its Failures, Reliability Versus Maintenance and Reliability in Support Phase, Bathtub
Hazard Rate Concept, Reliability Measures and Formulas, Reliability Networks, Reliability Analysis
Techniques.
Module-5
Maintainability: Maintainability Importance and Objective, Maintainability in Systems LifeCycle,
Maintainability Design Characteristics, Maintainability Functions and Measures, Common Maintainability
Design Errors.
Course Outcomes: After the completion of the course, a student will
• Understand the content of essential concepts in system safety and systems engineering.
• Be able to develop advanced risk models to be used for dynamic risk control and with integrated
machine learning.
• Develop safety and/or maintenance indicators for controlling operational safety
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Text Books: • Reliability, Maintenance and Safety Engineering/ Dr. A. K. Guptha/ Laxmi Publications.
86
• Industrial Safety Management/ L.M. Deshmukh/TMH
Reference Books: • Maintenance Engineering & Management / R. C. Mishra/ PHI
• Reliability Engineering / Elsayed/ Pearson
• Engineering Maintenance a modern approach/ B.S Dhallon/ C.R.R Publishers
• A Text Book of Reliability and Maintenance Engineering/Alakesh Manna/IK International Publishing
House
• Plant Maintenance and Reliability Engineering/NVS Raju/Cengage Learning
87
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
HUMAN RESOURCE MANAGEMENT
Course Code 18IM751 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Recognize the importance of Human Resource in an organization.
2. Explain the importance of Recruitment and Training in staffing an organization.
3. Recognize the training and development needs and identify the training methods.
4. Use special methods to enhance HR systems.
5. Identify the importance of industrial relations and industrial disputes and settlement
Module-1
INTRODUCTION: Evolution of HRM, Objectives, Functions and Policies.
HUMAN RESOURCE PLANNING: Uses and benefits, Man Power Inventory, Man Power Forecasting,
Methods of Man Power Forecasting, job Description, Job Specification.
Module-2
RECRUITMENT: Sources of Man power, Advertisement, Short Listing of Candidates calling Candidates for
selection Process.
SELECTION: Selection procedure – Written Test, Group Discussion. Interview – Different methods, advantages
and limitations, Psychological testing – Advantages and limitations, Induction procedure, transfers, promotion,
exit interview, (Tutorial on written test, Group Discussion, Interviews
Module-3
TRAINING AND DEVELOPMENT: Identification of Training needs, Training Evaluation, Training Budget,
Executive Development – Different Approaches, Non-executive development – Different methods.
PERFORMANCE APPRAISAL: Components (all round performance appraisal), Methods. Advantages and
limitations of different methods, Personal Counselling based on Annual Confidential Reports
Module-4
COUNSELLING AND HUMAN RESOURCE ACCOUNTING: Characteristics, Need, Function, Types, Suggestions for personnel development, communication function,
communication process, effective communication. Human resource records, Advantages of HR accounting,
Various methods of accounting
Module-5
INDUSTRIAL RELATIONS: Indian trade union act, standing orders act, Indian factories act
INDUSTRIAL DISPUTES AND SETTLEMENT: Indian Industrial Disputes act, Industrial disputes settlement
machinery. Works committee, Board of Conciliation, Voluntary Arbitration, Compulsory arbitration, Court of
inquiry, Industrial tribunal, Adjudication.
Course Outcomes: At the end of the course the student will be able to:
• Recall and explain the importance of HR in an organization
• Demonstrate skills in identifying the right man for the right job and carry out scientific selection.
• Interpret the training requirement and use the right method of training.
• Employ the right techniques for employee performance enhancement.
• Appraise the importance of industrial relations and correlate the existing legislations to settlement of
industrial disputes.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
88
Sl No Title of the Book Name of the
Author/s Name of the Publisher
Edition and
Year
Textbook/s
1 Human Resources Management Dr. K
Ashwathappa
Tata McGraw Hill 1999.
2 Management of Human
Resources
CB Mamoria Himalaya Publication
House
2003.
Reference Books
3 Personnel / Human Resource
Management
Decenzo and
Robbins
PHI 2002
4 Human Resources Management VSP Rao
5 Industrial Relations Arun Monappa TMH - ISBN – 0-07-
451710-8.
89
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
ORGANIZATIONAL BEHAVIOR
Course Code 18IM752 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. To make students understand fundamental concepts and principles of management, including the basic
roles, skills, and functions of management.
2. To make students knowledgeable of historical development, theoretical aspects and practice application of
managerial process.
3. To understand the basic concepts and theories underlying individual behaviour besides developing better
insights into one’s own self.
4. To make students aware of Individual behaviour in groups, dynamics of groups and team building besides
developing a better awareness of how they can be better facilitators for building effective teams as leaders
themselves.
Module-1
Introduction: Definition of Organization Behaviour and Historical development, Environmental context
(Information Technology and Globalization, Diversity and Ethics, Design and Cultural, Reward Systems).
Foundations of individual behavior: individual differences. Ability: Intellectual abilities, Physical ability, the
role of disabilities. Attitude: Meaning, Formation, components of attitudes, relation between attitude and
behavior, Aptitude, interests. Values.
Module-2
Personality: Meaning, formation, determinants, traits of personality, big five and MBTI, personality attributes
influencing OB. Personality Job Fit Theory.
Learning: Definition, Theories of Learning, Individual Decision Making, classical conditioning, operant
conditioning, social learning theory, continuous and intermittent reinforcement.
Module-3
Perception: Meaning, Process of perception, factors influencing perception, link between perception and
individual decision-making.
Module-4
Motivation: Maslow's Hierarchy of Needs theory, Mc-Gregor's theory X and Y, Hertzberg's motivation Hygiene
theory, David Mc-Clelland’s three needs theory, Victor Vroom's expectancy theory of motivation.
Leadership: Meaning, styles of leadership, leadership theories, trait theory, behavioural theories, managerial grid,
situational theories.
Module-5
Group Behavior: Definition and classification of groups, Factors affecting group formation, stages of group
development, Norms, Hawthorne studies, group processes, group tasks, group decision making.
Course Outcomes: At the end of the course the student will be able to:
1. Demonstrate their conceptual skills understanding and application of principles and functions of
management and to enable students basic understanding of dynamics of OB
2. Evaluate the global context for taking managerial actions of planning, Organizing and Controlling and
application of concepts of planning like MBO and Managerial decision making.
3. The Student will demonstrate ability to analyze predicting and to control behaviour of people at work for
organization effectiveness.
4. Students to develop leadership skills and ability to motivate and work in groups to achieve organizational
goals.
5. Understand and demonstrate their exposure towards growing complexities and recent trends in
management.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
90
Sl No Title of the Book Name of the
Author/s Name of the Publisher Edition and Year
Textbook/s
1 Organizational Behaviour
Stephen P
Robbins,
Timothy A.
Judge,
SeemaSanghi
-Pearson Education 14th Edition,
2012
2 Organization Behaviour
Ashwathappa, Himalaya Publication
House
Reference Books
3 Organizational Behavior Fred Luthans Tata Mc Graw HILL
4 Organizational Behavior.
PG Aquinas Excel Books
91
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
SUPPLY CHAIN MANAGEMENT
Course Code 18IM753 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. Identify the different elements of a Strategic Framework and analyse supply chains.
2. Explain the elements in the design of supply chain networks.
3. Demonstrate the facilities location for designing the supply chain network
4. Determine the inventories for supply chains.
5. Recognize emerging concepts for supply chain networks
Module-1
BUILDING A STRATEGIC FRAME WORK TO ANALYSE SUPPLY CHAINS: Supply chain stages and
decision phase, process view of a supply chain. Supply chain flows. Examples of supply chains. Competitive and
supply chain strategies. Achieving strategic fit. Expanding strategic scope. Drivers of supply chain performance.
Framework for structuring drivers – Inventory, Transportation, Facilities, Information. Obstacles to achieving fit.
Module-2
DESIGNING THE SUPPLY CHAIN NETWORK: Distribution Networking – Role, Design. Supply Chain
Network (SCN) – Role, Factors, Framework for Design Decisions.
Module-3
FACILITY LOCATION AND NETWORK DESIGN: Models for facility location and capacity allocation.
Impact of uncertainty on SCN – discounted cash flow analysis, evaluating network design decisions using decision
trees. Analytical problems.
Module-4
PLANNING AND MANAGING INVENTORIES IN A SUPPLY CHAIN: Review of inventory concepts.,
Concepts of Safety Inventory, Concept of Aggregation of Inventory, Concept of product availability.
Module-5
EMERGING CONCEPTS: Reverse Logistics, Reasons, Activities, Role. RFID Systems; Components,
applications, implementation. Lean supply chains, Implementation of Six Sigma in Supply Chains.
Course Outcomes: At the end of the course the student will be able to:
• Recall the elements involved in strategic frame work and analysis of supply chains.
• Demonstrate the elements involved in the design of supply chain networks
• Demonstrate the facilities location for designing the supply chain network
• Evaluate the inventories for supply chains.
• Identify emerging concepts for supply chain networks.
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl No Title of the Book Name of the
Author/s Name of the Publisher Edition and Year
Textbook/s
1 Supply Chain Management –
Strategy, Planning & Operation
Sunil Chopra &
Peter Meindl
Pearson Education Asia -
ISBN: 81-7808-272-1
2001.
2 Supply Chain Redesign –
Transforming Supply Chains
into Integrated Value Systems
Robert B
Handfield,
Ernest L
Pearson Education Inc -
ISBN: 81-297-0113-8
2002
92
Reference Books
3 Supply Chain and Logistics
Management
Upendra
Kachuru
4 Modelling the Supply Chain Jeremy F
Shapiro,
Duxbury
Thomson Learning
ISBN 0-534-37363
2002.
5 Designing & Managing the
Supply Chain
David Simchi
Levi, Philip
Kaminsky&
Edith Simchi
McGraw Hill
93
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VII
ENTERPRISE RESOURCE PLANNING LAB
Course Code 18IML77 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60
Credits 02 Exam Hours 03
Course Learning Objectives:
Experiments:
PART – A 1. Process of customer orders under seasonal / unseasonable and Blanket orders.
2. Generating Bill of Materials for Various Engineering Designs
3. Creating Item Master for various Engineering Designs
4. Conduction of vendor Evaluation exercise
5. Basic Statistical Analysis
6. Creating Purchase order for Items
7. Creating Work order for Items
8. Perform inventory transaction
PART – B 1. Creating quotation process for Items
2. Creating Dispatch Instruction for Items
3. Creating Payment reconciliation.
4. MRP - II Generating of Various reports for confirmed orders
5. Basic statistical analysis
6. Analyse of existing capacity and defining routes optimizing the resources along routes.
7. Optimization problems using OR packages (two exercises only).
8. Scheduling of activities
Suggested Software Packages
1. Statistical Packages : SYSTAT / MINITAB / SPSS and such others
2. ERP Packages: SIXTH SENSE / RAMCO / MAARSMAN / CIMAS / UNISOFT / OPTIMIIZER 10.6 and such
others.
3. Preactor – Scheduling Software OR Packages : Lindo / Lingo / STORM / such others
Course Outcomes:
• Use the modern software tools in ERP, Statistics and optimization.
• Demonstrate the use of appropriate software tools for decision making in business.
• Analyze and model the given scenario.
• Formulate the problems and solve it using the software tools.
From part A one question: 30 Marks
From part B one question: 50 Marks
Viva –Voice : 20 Marks
Total : 100 Marks
94
B.E INDUSTRIAL ENGINEERING & MANAGEMENT
Outcome Based Education (OBE) and Choice Based Credit System (CBCS)
SEMESTER – VII(18IMP78)
INTERNSHIP All the students admitted to III year of BE/B.Tech shall have to undergo mandatory internship of 4 weeks during
the vacation of VI and VII semesters and /or VII and VIII semesters. A University examination shall be conducted
during VIII semester and the prescribed credit shall be included in VIII semester. Internship shall be considered as
a head of passing and shall be considered for the award of degree. Those, who do not take-up/complete the
internship shall be declared as fail and shall have to complete during subsequent University examinations after
satisfying the internship requirements.
Course Code Refer to VIII semester scheme CIE Marks 40
Duration of internship 04 weeks SEE Marks 60
Credit 02 Exam Hours/ Batch 03
Course Learning Objectives:
Internship/Professional practice provide students the opportunity of hands-on experience that include personal
training, time and stress management, interactive skills, presentations, budgeting, marketing, liability and risk
management, paperwork, equipment ordering, maintenance, responding to emergencies etc. The objective are
further,
• To put theory into practice.
• To expand thinking and broaden the knowledge and skills acquired through course work in the field.
• To relate to, interact with, and learn from current professionals in the field.
• To gain a greater understanding of the duties and responsibilities of a professional.
• To understand and adhere to professional standards in the field.
• To gain insight to professional communication including meetings, memos, reading, writing, public
speaking, research, client interaction, input of ideas, and confidentiality.
• To identify personal strengths and weaknesses.
Internship: Students under the guidance of internal guide/s and external guide shall take part in all the activities
regularly to acquire as much knowledge as possible without causing any inconvenience at the place of internship.
Seminar: Each student, is required to
• Present the seminar on the internship orally and/or through power point slides.
• Answer the queries and involve in debate/discussion.
• Submit the report duly certified by the external guide.
The participants shall take part in discussion to foster friendly and stimulating environment in which the students
are motivated to reach high standards and become self-confident. �
Course Outcomes: At the end of the course the student will be able to:
• Gain practical experience within industry in which the internship is done.
• Acquire knowledge of the industry in which the internship is done.
• Apply knowledge and skills learnt to classroom work.
• Develop a greater understanding about career options while more clearly defining personal career goals.
• Experience the activities and functions of professionals.
• Develop and refine oral and written communication skills.
• Identify areas for future knowledge and skill development.
• Expand intellectual capacity, credibility, judgment, intuition.
• Acquire the knowledge of administration, marketing, finance and economics. �
Continuous Internal Evaluation CIE marks for the Internship shall be awarded by the committee constituted for the purpose by the Head of the
Department. The committee shall consist of three faculties from the department with the senior most acting as the
Chairman.
The CIE marks awarded shall be based on the evaluation of Internship Report, Presentation skill and Question and
Answer session in the ratio 50:25:25.�
Semester End Examination
SEE marks for the Internship shall be awarded based on the evaluation of Internship Report, Presentation skill and
Question and Answer session in the ratio 50:25:25 by the examiners appointed by the University.�
95
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VIII
SUPPLY CHAIN MANAGEMENT
Course Code 18IM81 CIE Marks 40
Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
6. Identify the different elements of a Strategic Framework and analyse supply chains.
7. Explain the elements in the design of supply chain networks.
8. Demonstrate the facilities location for designing the supply chain network
9. Determine the inventories for supply chains.
10. Recognize emerging concepts for supply chain networks
Module-1
BUILDING A STRATEGIC FRAME WORK TO ANALYSE SUPPLY CHAINS: Supply chain stages and
decision phase, process view of a supply chain. Supply chain flows. Examples of supply chains. Competitive and
supply chain strategies. Achieving strategic fit. Expanding strategic scope. Drivers of supply chain performance.
Framework for structuring drivers – Inventory, Transportation, Facilities, Information. Obstacles to achieving fit.
Module-2
DESIGNING THE SUPPLY CHAIN NETWORK: Distribution Networking – Role, Design. Supply Chain
Network (SCN) – Role, Factors, Framework for Design Decisions.
Module-3
FACILITY LOCATION AND NETWORK DESIGN: Models for facility location and capacity allocation.
Impact of uncertainty on SCN – discounted cash flow analysis, evaluating network design decisions using decision
trees. Analytical problems.
Module-4
PLANNING AND MANAGING INVENTORIES IN A SUPPLY CHAIN: Review of inventory concepts.,
Concepts of Safety Inventory, Concept of Aggregation of Inventory, Concept of product availability
Module-5
EMERGING CONCEPTS: Reverse Logistics, Reasons, Activities, Role. RFID Systems; Components,
applications, implementation. Lean supply chains, Implementation of Six Sigma in Supply Chains.
Course Outcomes: At the end of the course the student will be able to:
• Recall the elements involved in strategic frame work and analysis of supply chains.
• Demonstrate the elements involved in the design of supply chain networks
• Demonstrate the facilities location for designing the supply chain network
• Evaluate the inventories for supply chains.
• Identify emerging concepts for supply chain networks
Question paper pattern:
• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.
Sl No Title of the Book Name of the
Author/s Name of the Publisher Edition and Year
Textbook/s
1 Supply Chain Management –
Strategy, Planning & Operation
Sunil Chopra &
Peter Meindl
Pearson Education Asia -
ISBN: 81-7808-272-1
2001.
2 Supply Chain Redesign –
Transforming Supply Chains
into Integrated Value Systems
Robert B
Handfield,
Ernest L
Pearson Education Inc -
ISBN: 81-297-0113-8
2002
Reference Books
96
3 Supply Chain and Logistics
Management
Upendra
Kachuru
4 Modelling the Supply Chain Jeremy F
Shapiro,
Duxbury
Thomson Learning
ISBN 0-534-37363
2002.
5 Designing & Managing the
Supply Chain
David Simchi
Levi, Philip
Kaminsky&
Edith Simchi
Levi
McGraw Hill
97
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VIII
AUTOMATION IN MANUFACTURING
Course Code 18IM821 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• To understand the concepts of automation in manufacturing systems
• To impart the knowledge of a line balancing and assembly systems
• To explore the idea of robotics and understand the computerized manufacturing planning
• To gain the knowledge of automated inspection and shop floor control
• To understand the concepts of additive manufacturing and latest trends in manufacturing
Module-1
Introduction: Production system facilities, Manufacturing support systems, Automation in production systems,
Automation principles &strategies Manufacturing Operations: Manufacturing operations, Product/production
relationship, Production concepts and Mathematical models &costs of manufacturing operations. Problems on
mathematical models
Module-2
Line Balancing: Methods of line balancing, Numerical problems on largest candidate rule, Kilbridge’s and
Wester’s method, and ranked positional weights method, computerized line balancing methods. Automated
Assembly System: Design for automated assembly, types of automated assembly system, Parts feeding devices,
Analysis of single and multi station assembly machines.
Module-3
Computerized Manufacture Planning and AGVS: Computer aided process planning (CAPP), Retrieval and
Generative systems, and benefits of CAPP. Material requirement planning, Inputs to MRP system, working of
MRP, Outputs and benefits. Automated Guided Vehicles System: Applications, Guidance and routing, Industrial
Robotics: Definition, Robot anatomy, Joints and links, Robot configurations, Robot control systems, Accuracy
and repeatability, End effectors, Sensors in robotics. Industrial robot applications: Material handling, Processing,
assembly and inspection.
Module-4
Inspection Technologies: Automated inspection, coordinate measuring machines construction, Operation
&programming, Software, application &benefits, Flexible inspection system, Inspection probes on machine
tools, Machine vision, Optical inspection techniques & Non-contact Non-optical inspection technologies. Shop
Floor Control and Automatic Identification Techniques: Shop floor control, Factory data collection system,
Automatic identification methods, Bar code technology, Automatic data collection systems. An Introduction to
QR Code Technology
Module-5
Additive Manufacturing Systems: Basic principles of additive manufacturing, Slicing CAD models for AM,
Advantages and limitations of AM technologies, Recent trends in manufacturing, Hybrid manufacturing.
Future of Automated Factory: Trends in manufacturing, the future automated factory, Human workers in future
automated factory, Social impact.
Course Outcomes: After studying this course, students will be able to
• Explain the basics of productions, automation system and manufacturing operations. Solve the simple
problems on mathematical model.
• Explain CAPP and MRP system and analyze the AGVS.
• Understand the inspection technologies and shop floor control.
• Explain the modern trends in additive manufacturing and automated factory.
Text Books:
1. Automation, Production Systems and Computer-Integrated Manufacturing, by Mikell P Groover, 3rd Edition,
2009, PHI Learning.
2. Automation, Production Systems and Computer-Integrated Manufacturing, by Mikell P Groover, 1999,
Prentice-Hall of India.
3. CAD / CAM Principles and Applications by P N Rao, 3rd Edition, 2015, Tata Mc Graw Hill.
4. Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing, 2nd Ed. (2015),
Ian Gibson, David W. Rosen, Brent Stucker
98
5. “Understanding Additive Manufacturing”, Andreas Gebhardt, Hanser Publishers, 2011
Reference Books:
1. Systems Approach to Computer-Integrated Design and Manufacturing by Dr. Nanua Singh,Wiley, 1996.
2. CAD/CAM/CIM P. Radhakrishnan, S. Subramanyan, U. Raju, New Age International Publication Revised
Third Edition 2007.
99
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VIII
LEAN MANUFACTURING
Course Code 18IM822 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. To enable students to design a globally competitive manufacturing organization using lean manufacturing
principles;
2. To develop the skills to implement lean manufacturing in industry and manage the change process to achieve
continuous improvement of efficiency and productivity.
Module-1
Framework of Toyota Production System: Just in time production system. JIT Logic -Pull system Japanese
approach to production elimination of waste - JIT implementation requirements JIT application for job shops, Case
studies.
Adaptable Kanban System: Kanban rules, supplier Kanban and sequence schedule used by supplier, Monthly
information & daily information.
Text Book 1 : Chapter 1- Chapter 2
Additional Interests: Prepare Kanban Chart for a manufacturing plant
Module-2
The rise of mass production: The rise & fall of Mass Production Mass production, work force, organization,
tools, product –logical limits of Mass production, Sloan as a necessary compliment to Ford. Case study:- Rouge
Production Plant.
The rise of lean production: - Birth place, concrete example, company as community, Final assembly plant,
product development and engineering
Text Book 2 : Chapter 2
Additional Interests: List out Lean Management Concepts. And Frame Work of Lean Manufacturing
Module-3
Reduction of setup times- Concepts and Techniques: Setup Concepts, practical procedures for reducing setup
time.
Standardization of operations: Machine layout, multi-function workers and job rotation. Improvement activities
to reduce work force and increase worker morale -foundation for improvements
Text Book 1 : Chapter 8, Chapter 9, Chapter 10, Chapter 11, Chapter 12
Additional Interests: Use any lean Six Sigma Statistical Analysis tool and learn to analyze data using 7QC tools.
Module-4
House of Lean -5S's and Waste Walks, Visual Management, Value Stream Mapping-Understanding the current
state and designing the future state
Managing lean enterprise: - Finance, Career ladders, geographic spread and advantages of global enterprise.
Additional Interests: Develop VSM Current and Future state diagram using Microsoft Visio or Similar Software
Package.
Module-5
Six sigma concepts: History, definitions, Statistical definitions, quality levels, Technical aspects, Six sigma for
all: benefits to organizations, customers, suppliers and employers, Design for Six Sigma, DMAIC principles,
DMADV principles, merits and demerits.
Text Book 5 Additional Interests: Suggested to read The Certified Six Sigma Green Belt Handbookby Roderick A. Munro and
Govindarajan Ramu (ISBN-10: 0873898915)
Course Outcomes: • Identify how a production line can be run efficiently
• Reflect upon the critical skills and evaluate their own performance
• Relate concepts such as ‘Just in Time manufacturing’ and ‘Lean manufacturing to the context of an assembly
line.
Text Books:
1: Toyota Production System -An integrated approach to Just in Time - Yasuhiro Monden, - Engineering aild
Management Press -Institute of Industrial Engineers – 1983.
2: James P Womack, Daniel T Jones, and Daniel Roos, “The Machine that changed the World. The Story of Lean
100
Production –Harper Perennial edition published 1991.
3: Gemba Kaizen: A Commonsense Approach to a Continuous Improvement Strategy, Second Edition Hardcover
– 2012by Masaaki Imai
4 :Value Stream Mapping : How to Visualize Work and Align Leadership for Organizational Transformation
Paperback – 2016 by Karen Martin , Mike Osterling
5: Lean And Six Sigma - Six Sigma Black Belt (2007 BOK): Enterprise-Wide Deployment Paper Back by
Suvabrata Mitra
Reference Books:
Learning to See: Value Stream Mapping to Add Value and Eliminate MUDA 1st Editionby Mike Rother and John
Shook
Getting the Right Things Done: A Leader's Guide to Planning and Execution by Dennis, Pascal (January 1, 2006)
by Pascal Dennis
The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer by Jeffrey K. Liker
101
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VIII
TOTAL QUALITY MANAGEMENT
Course Code 18IM823 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 03 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
• Develop an understanding on the necessary information and skills needed to manage, control and improve
quality practices in the organizations through TQM philosophy.
• Explain the four revolutions in management thought processes.
• Apply the reactive and proactive improvement methodologies for problem solving in organizations.
• Demonstrate the importance of team work in problem solving processes.
• Define the business excellence models implemented in various organizations.
Module-1
OVERVIEW OF TOTAL QUALITY MANAGEMENT: History of TQM. Axioms of TQM,
contributions of Quality Gurus – Deming’s approach, Juran, quality trilogy, Crosby and quality treatment, Imai’s
Kaizen, Ishikawa; companywide quality control and Fegenbaum theory of TQC, QFD.
Module-2
EVOLUTION OF QUALITY CONCEPTS AND METHODS: Quality concepts. Development of four fitness’s,
evolution of methodology, evolution of company integration, quality of conformance versus quality of design from
deviations to weaknesses to opportunities. Future fitness’
FOUR REVOLUTIONS in management thinking and four levels of practice
Module-3
Focus on customers: Change in work concept, market-in, and customers.
Continuous Improvement: Improvement as problem solving process: Management by process, WV model of
continuous improvement.
Reactive Improvement: Identifying the problem, standard steps, seven steps case study, and General guidelines for
managers diagnosing a QI story.
Proactive Improvement: Introduction to proactive improvement, standard steps for proactive improvement, semantics,
example-customer visitation, Seven Management and Planning Tools.
Module-4
Total Participation; Teamwork skill, Dual function of work, teams and teamwork, principles for activating teamwork,
creativity in team processes, Initiation strategies, CEO involvement. Strategies for TQM introduction. Infrastructure for
mobilization. Phase-in.
Hoshin Management: Definition, Concepts, Phases in Hoshin Management – overview.
Societal Networking: Networking and societal diffusion, infrastructure for networking. TQM as learning system, a
TQM model for skill development.
Module-5
Introduction to Six Sigma: Benefits, fundamentals, Assessing readiness for Six Sigma, five key players, Planning for
the Six Sigma initiative. Case discussions.
Metrics for Six Sigma: The critical-to-quality concept, criteria to metrics, universal standard, baselines,
benchmarking, guidelines for metrics.
Design for Six Sigma: Overview of DFSS, DMADV Method.
Course Outcome:
• Develop the understanding on TQM concepts.
• Make use of quality concepts and four levels of practices to solve the quality related issues
• Recommend appropriate revolutions in management thinking for continuous improvement
• Design and implement TQM & Six Sigma projects in organizational situations.
TEXT BOOKS:
1. A New American TQM Four Practical Revolutions in Management - Shoji Shiba, Alan Graham and David
Walden – Prod uctivity Press, Portlans (USA) -1993. 2. Management for Total Quality - N Logothetis- Prentice Hall of India, New Delhi - 1994.(1
stChapter)
3. Greg Brue and Rod Howes, Six Sigma, TATA McGraw-Hill Edition 2006, ISBN: 0-07-063468-8
102
REFERENCE BOOK:
1. The Quality Improvement Hand Book -Roger C Swanson - Publisher Vanity Books International, New
Delhi - 1995.
2. Total Quality Management - Kesavan R - I K International Publishing house Pvt. Ltd – 2008.
103
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VIII
FINANCIAL MANAGEMENT
Course Code 18IM824 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
1. To provide the concepts and foundations of managing finance in business enterprises.
2. To equip students with tools and techniques for managing finance.
3. To orient students regarding financial management practices in Indian companies and Global enterprises.
Module-1
Introduction: Evolution of Financial Management, Goals, Forms of Business. Risk and Required Return: Risk
and return relationship, Business risk, financial risk, and risk in portfolio context, expected rate of return, Capital
asset pricing model. Capital Budgeting: Risk analysis in Capital Budgeting, Cost of Capital – Debt, Preference
Equity forms of capital.
Module-2
Capital Structure and Firm Value: Assumption, Definition and approaches, Modigliani and Miller Mode,
Capital Structure decisions – EBIT, EPS analysis, ROI, REI analysis and Cash Flow comparative Analysis.
Working Capital Management: Factors influencing working capital requirement, determination of operating cycle
and working capital.
Module-3
Long Term Financing: Raising of finance form primary and secondary markets, Valuation of securities, features
of convertibility securities and warrants, SEBI guide lines on capital issues, stock market in India, Venture capital,
Initial Public Offering. Merger Acquisition and Restructuring: Reasons, Mechanics, Cost and benefits of a merger,
Evolution, terms and purchase of a division, Takeovers, Acquisitions, Portfolio and financial.
Module-4
Securities and Portfolio Analysis: Derivatives, Futures Trading, Financial Statement Analysis: Ratio analysis,
time series analysis, Du pont analysis, funds flow analysis.
Module-5
International Financial Management: World Monitoring system, Foreign Exchange Markets, International
Parity Relationships, International Capital budgeting, Financing Foreign Operations, Raising Foreign Currency
Finance, Financing Exports, Documents in International Trade. Financial Management in Sick Units: Definition of
sickness, Causes of sickness, Symptoms of sickness, Prediction of sickness, Revival of a sick unit.
Course Outcomes:
1. Apply the risk analysis in capital budgeting
2. Analyze the various capital structure decisions of the firm
3. Analyze the security and Portfolio of the firm.
4. Understand the international management and able to explain the financial risk at global level.
Text Books:
1. Financial Management Theory and practice – Prasanna Chandra – TMH – ISBN– 007-044501-X, 5th edn.
2. Financial accounting – B.S. Raman – United publication – VoI II
Reference Books:
1. Financial Management Text & Problems – Khan & Jain – TMH – ISBN 0—07-460208-X.
2. Financial management – IM Pandey – Vikas Pub. House – ISBN 0- 7069-5435-1.
104
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VIII
PROJECT WORK PHASE -II
Course Code 18IMP83 CIE Marks 40
Contact Hours/Week 02 SEE Marks 60
Credits 08 Exam Hours/Batch 03
Course Learning Objectives:
• To support independent learning and innovative attitude
• To guide to select and utilize adequate information from varied resources maintaining ethics.
• To guide to organize the work in the appropriate manner and present information (acknowledging the
sources) clearly.
• To develop interactive, communication, organisation, time management, and presentation skills.
• To impart flexibility and adaptability.
• To inspire independent and team working.
• To expand intellectual capacity, credibility, judgement, intuition.
• To adhere to punctuality, setting and meeting deadlines.
• To instil responsibilities to oneself and others.
• To train students to present the topic of project work in a seminar without any fear, face audience
confidently, enhance communication skill, involve in group discussion to present and exchange ideas. �
Project Work Phase - II: Each student of the project batch shall involve in carrying out the project work jointly in
constant consultation with internal guide, co-guide, and external guide and prepare the project report as per the
norms avoiding plagiarism.
Course Outcomes: At the end of the course the student will be able to:
• Present the project and be able to defend it.
• Make links across different areas of knowledge and to generate, develop and evaluate ideas and information
so as to apply these skills to the project task.
• Habituated to critical thinking and use problem solving skills
• Communicate effectively and to present ideas clearly and coherently in both the written and oral forms.
• Work in a team to achieve common goal.
• Learn on their own, reflect on their learning and take appropriate actions to improve it. �
CIE procedure for Project Work Phase - 2: (i)Single discipline: The CIE marks shall be awarded by a committee consisting of the Head of the concerned
Department and two senior faculty members of the Department, one of whom shall be the Guide.
The CIE marks awarded for the project work phase -2, shall be based on the evaluation of project work phase -2
Report, project presentation skill and question and answer session in the ratio 50:25:25.The marks awarded for the
project report shall be the same for all the batch mates.
(ii) Interdisciplinary: Continuous Internal Evaluation shall be group wise at the college level with the participation
of all guides of the college. Participation of external guide/s, if any, is desirable.
The CIE marks awarded for the project work phase -2, shall be based on the evaluation of project work phase -2
Report, project presentation skill and question and answer session in the ratio 50:25:25.The marks awarded for the
project report shall be the same for all the batch mates.�
Semester End Examination SEE marks for the project (60 marks) shall be awarded (based on the quality of report and presentation skill,
participation in the question and answer session) as per the University norms by the examiners appointed VTU.∎
105
B. E. Industrial Engineering & Management
Choice Based Credit System (CBCS) and Outcome Based Education (OBE)
SEMESTER - VIII
TECHNICAL SEMINAR
Course Code 18IMS84 CIE Marks 100
Contact Hours/Week 02 SEE Marks --
Credits 01 Exam Hours --
Course Learning Objectives:
The objective of the seminar is to inculcate self-learning, face audience confidently, enhance communication skill,
involve in group discussion and present and exchange ideas.
Each student, under the guidance of a Faculty, shall choose, preferably, a recent topic of his/her interest relevant to
the Course of Specialization.
• Carryout literature survey, organize the seminar content in a systematic manner.
• Prepare the report with own sentences, avoiding cut and paste act.
• Type the matter to acquaint with the use of Micro-soft equation and drawing tools or any such facilities.
• Present the seminar topic orally and/or through power point slides.
• Answer the queries and involve in debate/discussion.
• Submit typed report with a list of references.
The participants shall take part in discussion to foster friendly and stimulating environment in which the students are
motivated to reach high standards and become self-confident. �
Course Outcomes:
At the end of the course the student will be able to:
• Attain, use and develop knowledge in the field of engineering and other disciplines through
independent learning and collaborative study.
• Identify, understand and discuss current, real-time issues.
• Improve oral and written communication skills.
• Explore an appreciation of the self in relation to its larger diverse social and academic contexts.
• Apply principles of ethics and respect in interaction with others.�
Graduate Attributes (As per NBA): Engineering Knowledge, Problem Analysis, Design / development of solutions, Conduct investigations of complex
Problems, Modern Tool Usage, Engineers and society, Environment and sustainability, Ethics, Individual and Team
work, Communication.
Evaluation Procedure:
The CIE marks for the seminar shall be awarded (based on the relevance of the topic, presentation skill, participation
in the question and answer session and quality of report) by the committee constituted for the purpose by the Head of
the Department. The committee shall consist of three teachers from the department with the senior most acting as the
Chairman.
Marks distribution for CIE of the course:
Seminar Report:50 marks
Presentation skill:25 marks
Question and Answer: 25 marks.�